{"id":"W4248486281","doi":"10.1515/iupac.87.0550","title":"Psychoactive","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); Psychology; Computer science; 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":[0.0007271247,0.001365192,0.001221786,0.003562497,0.0006633021,0.002031255,0.001588914,0.00123019,0.1043426],"category_scores_gemma":[0.008279632,0.000424936,0.001609374,0.005171686,0.0002990878,0.001680674,0.001620612,0.00159066,0.07514251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212795,"about_ca_system_score_gemma":0.002314729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564026,"about_ca_topic_score_gemma":0.03152353,"domain_scores_codex":[0.9989662,0.0001393078,0.000270963,0.0002884559,0.0002350712,0.0000999838],"domain_scores_gemma":[0.9970036,0.0009464376,0.0005902804,0.0005372702,0.0007442665,0.0001780703],"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":[0.0004911547,0.00005310301,0.004900954,0.007522288,0.0001476233,0.00008907816,0.00005019136,0.0003120037,0.000271675,0.001242743,0.9518229,0.03309637],"study_design_scores_gemma":[0.0001682176,0.00002457935,0.009268977,0.00131393,0.0000732537,0.0001555727,0.00005823304,0.0001137097,0.0002253999,0.001190672,0.9873821,0.00002535347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003079261,0.0007137698,0.0001083542,0.00009610584,0.00004022509,0.00003104404,0.9955854,0.0001822911,0.002934835],"genre_scores_gemma":[0.001546588,0.000995275,0.0006633897,0.0002717862,0.00002719048,0.0001650498,0.9928411,0.00007100686,0.003418582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1043426,"threshold_uncertainty_score":0.3490608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201019323299068,"score_gpt":0.3910950497263341,"score_spread":0.3790848564933434,"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."}}