{"id":"W4250227524","doi":"10.1515/iupac.79.0801","title":"Allomone","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Multidisciplinary approach; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Sociology; Social 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":[0.001315246,0.002120328,0.001757917,0.003696112,0.0008734862,0.003226515,0.002861957,0.001839323,0.1326349],"category_scores_gemma":[0.009489916,0.0006490846,0.002091878,0.005840736,0.0004128906,0.002093812,0.002300481,0.001697497,0.1854823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120843,"about_ca_system_score_gemma":0.002851441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036995,"about_ca_topic_score_gemma":0.02480533,"domain_scores_codex":[0.9985594,0.0002772313,0.0002268705,0.0005315432,0.0002385643,0.000166439],"domain_scores_gemma":[0.9975139,0.0007901831,0.0002755908,0.0006523616,0.0005197763,0.0002481527],"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":[0.0001422591,0.00002067221,0.0008826208,0.001717487,0.00007526248,0.00002801918,0.00002423293,0.0002643359,0.0001155535,0.0006377294,0.9907882,0.005303703],"study_design_scores_gemma":[0.0002990415,0.00002186428,0.002102104,0.0004193471,0.00005111993,0.00005857118,0.00004325586,0.0002734003,0.0001694755,0.001477682,0.99506,0.00002406029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009422563,0.0001508979,0.00009128779,0.00007328949,0.00003532299,0.00002027785,0.9980965,0.0004658239,0.0009723495],"genre_scores_gemma":[0.0002843117,0.0001184428,0.0003360985,0.0001009655,0.00001232272,0.0001120047,0.9981253,0.0001096137,0.000800941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1326349,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0914648935308812,"score_gpt":0.4061006028091854,"score_spread":0.3146357092783041,"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."}}