{"id":"W4407448503","doi":"10.1038/s41467-026-72445-1","title":"Perception and neural representation of intermittent odor stimuli in mice","year":2025,"lang":"en","type":"preprint","venue":"Nature Communications","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Women and Children’s Health Research Institute; University of Alberta; McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"Engineering and Physical Sciences Research Council; Harvard University; Ministry of Defence; Pew Charitable Trusts; U.S. Department of Defense","keywords":"Odor; Perception; Representation (politics); Psychology; Cognitive psychology; Neuroscience; Communication; Artificial intelligence; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001857629,0.0003718148,0.0003159019,0.0004007186,0.0001100617,0.0004490136,0.0004055375,0.0004109075,0.0007909011],"category_scores_gemma":[0.0003166823,0.0002528298,0.0002812996,0.0001310829,0.0004642982,0.0003536482,0.0004178213,0.000823186,0.0001902279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507645,"about_ca_system_score_gemma":0.0001750555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004358349,"about_ca_topic_score_gemma":0.0004384893,"domain_scores_codex":[0.9998635,0.00001054654,0.000007287036,0.00004812849,0.00003619704,0.00003426136],"domain_scores_gemma":[0.9996363,0.00005274277,0.0001438993,0.00002964951,0.00003113507,0.000106301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005515642,0.00001014282,0.0002292283,0.00000679921,0.000002204195,0.00001512624,0.000006738479,0.00006280112,0.9990073,0.00004887907,0.000009230846,0.0005463656],"study_design_scores_gemma":[0.00003432159,0.000838642,0.03559208,0.00001360039,0.00003338608,0.0002751162,0.00006203468,0.005936039,0.9560428,0.0005029074,0.0006490923,0.00002007051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939732,0.0001124528,0.005238857,0.00004854115,0.000009324204,0.000006134348,0.0001683768,0.0001013318,0.000341686],"genre_scores_gemma":[0.9905709,0.000168669,0.006977972,0.0000978555,0.00001080163,0.000038345,0.0002951851,0.0000798339,0.001760506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007909011,"threshold_uncertainty_score":0.002645791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2107980710809416,"score_gpt":0.3905680676673897,"score_spread":0.1797699965864481,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}