{"id":"W4236486932","doi":"10.1515/iupac.87.0049","title":"Antidepressant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electroconvulsive Therapy Studies","field":"Medicine","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":[0.0008519767,0.0009751326,0.001046706,0.002231772,0.0006221178,0.002368875,0.001764993,0.001290864,0.1814202],"category_scores_gemma":[0.009495341,0.0003926709,0.00124976,0.003682949,0.0002280696,0.001483896,0.001448384,0.001197696,0.1949595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160217,"about_ca_system_score_gemma":0.001842387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009730806,"about_ca_topic_score_gemma":0.02233329,"domain_scores_codex":[0.9987258,0.0002208338,0.0002832478,0.0003916749,0.0002445923,0.0001338777],"domain_scores_gemma":[0.9966969,0.0007687885,0.0004789828,0.0007295203,0.001090036,0.000235761],"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":[0.0002245432,0.00002301885,0.002630099,0.001337638,0.00005092016,0.00003180566,0.00002489738,0.0001351541,0.00009559017,0.0008135128,0.9811553,0.01347754],"study_design_scores_gemma":[0.0001748225,0.00002119038,0.005790491,0.0005827795,0.00004020929,0.00009360966,0.00006314502,0.0001614283,0.0001831394,0.001064442,0.9918053,0.00001931047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002763853,0.0002426702,0.0001285901,0.0001740609,0.00006547264,0.00003766621,0.9935129,0.0003323954,0.005229815],"genre_scores_gemma":[0.001226531,0.0002632704,0.0004919679,0.0003719305,0.00003349349,0.0001414324,0.992284,0.0001048051,0.005082533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1814202,"threshold_uncertainty_score":0.6069109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563217125948926,"score_gpt":0.4227544764613616,"score_spread":0.4071223052018724,"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."}}