Great class packaging and the scent is spot on!
I loove this scent. It smells like the original at a reasonable price. It brings back great memories and it is spot on!
A structured method for understanding how fragrance shapes emotional state — developed by HumanSafe™ and applied across the CA Perfume catalog as a validation partner.
Mood Architecture™ is a structured scoring method that estimates how a fragrance may influence emotional state. It is not a marketing claim. It is a framework — informed by findings from olfactory neuroscience research, calibrated against community perception data, and expressed as the MEI™ score on every product page.
Every fragrance you have ever worn changed something in how you felt. Mood Architecture™ is the first framework to make that visible — scored, transparent, and specific to each scent.
No single score captures the full emotional character of a scent. These seven dimensions together form a complete mood fingerprint — specific, repeatable, and unique to each fragrance.
How much the fragrance supports feelings of self-assurance and personal authority.
The degree to which the scent amplifies your sense of being noticed and remembered.
The fragrance's capacity to elevate baseline emotional positivity and openness.
The sense of comfort, safety, and emotional ease the scent creates.
How well the fragrance supports open, relaxed, and approachable social energy.
The strength of alignment between the scent and the wearer's sense of self.
The activating or stimulating quality of the fragrance — its drive and momentum.
"The perfume industry spends billions describing what a fragrance smells like. Nobody was measuring what it does to how you feel. That was the gap we built Mood Architecture™ to fill."
— Recep Emra, Founder of HumanSafeMood Architecture™ is a framework developed by HumanSafe™ — an independent science-based ingredient safety and mood impact platform. CA Perfume is a validation partner and the first commercial application of the framework, bringing MEI™ scores to over 1,000 fragrances. The method was built at the intersection of neuroscience, psychology, and olfactory research — informed by findings from peer-reviewed literature on olfactory emotional response, then calibrated against 11,375 community perception data points to ensure the scores reflect how people actually experience scent.
We reviewed peer-reviewed olfactory neuroscience research to identify which note families and accord types are associated with specific emotional responses.
Seven mood dimensions were defined based on the most consistent emotional associations documented in olfactory literature — mapping note families to likely emotional responses at realistic wear conditions.
Community perception vote data (11,375 data points across 976 fragrances) was used to weight which notes most people actually detect — adjusting scores to reflect real-world experience.
Community ratings and vote volume are used to apply a confidence multiplier — scores backed by more community data carry more weight than scores from limited input.
Top notes, heart notes, base notes. Bergamot, vetiver, oud. These tell you what a fragrance smells like in theory. They tell you nothing about how it will make you feel when you wear it in your life.
Will this make me feel confident in a meeting? Will this make me feel calm at the end of a long day? Will this make me feel like myself? MEI™ scores these questions directly — not as marketing copy, but as a measured estimate.
With Mood Architecture™ scores on every product, you do not need to guess which fragrance fits the moment. The score does that work. You show up in the right emotional state — consistently, deliberately, on purpose.
Each fragrance moves through four calculation layers before a final score is produced. Every layer adds a dimension of accuracy — from ingredient signals to community validation.
Each note is mapped to dimension weights derived from olfactory research. Top, middle, and base notes are scored separately — position affects intensity.
Community vote data calibrates which notes people actually detect in this fragrance. High-voted notes carry up to 1.5× weight. Zero-vote notes default to minimum signal.
Note combinations that produce known synergistic emotional effects receive a dimension-specific bonus. The strongest single accord per dimension applies.
Community rating and vote volume apply a final confidence adjustment. More data = more reliable score. Expressed as M_halo.
The Mood Elevation Index is a composite score from 0 to 10. It is produced by the Mood Architecture™ Framework — a proprietary multi-layer calculation method developed by HumanSafe™. The specific weights, coefficients, and formulas are trade secrets. What we can share is what each layer does and what the score means for you.
Every note in a fragrance carries an emotional signal. The framework maps each note to mood dimensions based on peer-reviewed olfactory research. Top, middle, and base notes are weighted differently — position affects how strongly a note registers in the final score.
What a perfumer intends and what people actually detect are not always the same. This layer adjusts the score based on community perception data — notes that many people detect carry more influence than notes few people notice.
Certain note combinations produce emotional effects stronger than any single note alone. The framework identifies these combinations and applies a synergy adjustment specific to each mood dimension.
A fragrance with thousands of community ratings carries more reliable signal than one with very few. This final layer adjusts the score based on the volume and quality of community rating data — the more evidence, the more confident the score.
MEI™ is the output of the Mood Architecture™ Framework — a single score from 0 to 10 that estimates the emotional impact of a fragrance across seven mood dimensions. Each score comes with a primary mood category, a secondary mood, and an Inner Voice — a personal statement that belongs to how this fragrance makes you feel. There are 11 distinct Inner Voice statements across the full fragrance catalog.
The Mood Architecture™ Framework draws on findings from peer-reviewed olfactory neuroscience and sensory psychology literature. The following research areas and authors informed the dimension architecture and note-to-emotion mapping approach.
Herz, R.S. — Research on how olfactory stimuli trigger emotional responses and mood states, including the role of associative learning in scent-emotion connections.
Keller, A. — Studies on predicting hedonic odor responses from chemical structure and perceptual ratings, relevant to mapping note families to emotional valence.
Sela, L. — Neuroimaging and behavioral research on how the brain processes olfactory emotional signals, supporting the dimension-level scoring structure.
IFRA sensory and consumer research studies on fragrance perception, wear-condition effects, and the relationship between note concentration and emotional experience.
Over 1,000+ fragrances. Every one scored across seven mood dimensions. Find yours by mood, by score, or by Inner Voice.