{"id":"W4254674732","doi":"10.1515/iupac.79.1721","title":"Odor Threshold","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Linguistics; Biology; Organic chemistry","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":[0.0005906594,0.001969751,0.00151984,0.002712108,0.0005738373,0.002244104,0.002106856,0.001519374,0.07053123],"category_scores_gemma":[0.005091944,0.0003948584,0.001913025,0.003381981,0.0002465199,0.001301529,0.001252794,0.001430359,0.0877094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085257,"about_ca_system_score_gemma":0.001420634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675913,"about_ca_topic_score_gemma":0.03337907,"domain_scores_codex":[0.99921,0.00008696267,0.0001266763,0.0003030777,0.0001778083,0.00009541967],"domain_scores_gemma":[0.9986429,0.0003710938,0.0001780168,0.000318805,0.0003909035,0.00009827843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003047045,0.00006309528,0.005777105,0.002017183,0.0001274658,0.00005236192,0.00002343513,0.0007940891,0.0003310284,0.0005510284,0.973754,0.01620455],"study_design_scores_gemma":[0.0003741106,0.00007743965,0.02253182,0.0008685456,0.000167868,0.0002890304,0.0001193416,0.001464969,0.000845087,0.002724455,0.9704508,0.00008639519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003754847,0.0002237102,0.0001127887,0.00004393226,0.00004178399,0.0000205276,0.9976835,0.0002444626,0.001253883],"genre_scores_gemma":[0.001020042,0.0001533466,0.0004074525,0.00008169756,0.00001250862,0.0000875749,0.9970115,0.00003952527,0.001186328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07053123,"threshold_uncertainty_score":0.2359504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140963370644301,"score_gpt":0.349587274405664,"score_spread":0.338177640699221,"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."}}