{"id":"W4249832043","doi":"10.1515/iupac.87.0544","title":"Proprioceptor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; 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":[0.0006827781,0.001773575,0.001329532,0.003166771,0.0005958862,0.002136963,0.002139595,0.001544236,0.0856937],"category_scores_gemma":[0.007900188,0.0004729504,0.001412487,0.004204809,0.0003451027,0.00160491,0.001802932,0.001584312,0.09781984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008564,"about_ca_system_score_gemma":0.001749795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432427,"about_ca_topic_score_gemma":0.02902698,"domain_scores_codex":[0.9990043,0.0001287868,0.0002362212,0.0002916227,0.0002227754,0.0001161795],"domain_scores_gemma":[0.9973543,0.0007952267,0.000415803,0.0005664051,0.0007056161,0.0001627357],"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":[0.0004339703,0.00004658302,0.006250576,0.003784377,0.00009534417,0.00007740183,0.00004119548,0.0005511741,0.00028883,0.0007883069,0.9642705,0.02337187],"study_design_scores_gemma":[0.0002571358,0.00006046456,0.01834287,0.001499562,0.00008284506,0.0002418883,0.0001062893,0.0005218273,0.0005696446,0.001998397,0.9762588,0.00006040076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002830403,0.0002513466,0.0001401119,0.0000570947,0.00003728022,0.00002539944,0.9972349,0.0002676323,0.001703101],"genre_scores_gemma":[0.001204138,0.000282677,0.0005098449,0.00009126609,0.00001398097,0.0001559687,0.9962752,0.00004639963,0.001420475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0856937,"threshold_uncertainty_score":0.286674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054994006676319,"score_gpt":0.3670958463567371,"score_spread":0.3565459062899739,"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."}}