{"id":"W4402283620","doi":"10.1016/j.tifs.2024.104700","title":"Bridging odorants and olfactory perception through machine learning: A review","year":2024,"lang":"en","type":"review","venue":"Trends in Food Science & Technology","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Bridging (networking); Olfactory perception; Perception; Olfactory system; Olfaction; Neuroscience; Computer science; Psychology; Cognitive science; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006651183,0.0005616277,0.001548043,0.003047083,0.0005242745,0.00008871155,0.0007558735,0.0003366575,0.000115103],"category_scores_gemma":[0.0009668989,0.0004216972,0.0002140492,0.008383629,0.002247804,0.0003889138,0.0006489793,0.00175572,0.0001910724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247977,"about_ca_system_score_gemma":0.000126443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004136542,"about_ca_topic_score_gemma":0.00001541173,"domain_scores_codex":[0.9962743,0.0002302327,0.0007097023,0.001640101,0.000470997,0.0006746674],"domain_scores_gemma":[0.9989601,0.00009966758,0.0002961165,0.0005395943,0.00003596375,0.00006859456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001670763,0.00002694006,0.00001252381,0.004700874,0.000008566903,0.00003497588,0.000162393,3.375278e-7,0.00018255,0.0007786312,0.0001649878,0.9939256],"study_design_scores_gemma":[0.00009455184,0.0002863662,0.000007840245,0.0123238,0.0002019547,0.0004347827,0.00006279585,0.00003795782,0.00004700668,0.0002164089,0.9858341,0.0004524849],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003092409,0.9953258,0.00001450501,0.0005403307,0.0006677876,0.0003197528,0.00002959503,0.0005650389,0.00222796],"genre_scores_gemma":[0.01539796,0.9829895,0.00003085133,0.0001677207,0.00004223357,0.00008228864,0.000004760205,0.00004042617,0.001244209],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9934731,"threshold_uncertainty_score":0.9998235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3161598926890357,"score_gpt":0.388791169620624,"score_spread":0.07263127693158833,"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."}}