{"id":"W4234546769","doi":"10.1515/iupac.79.0731","title":"Abortifacient","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Forensic toxicology; Toxicology; Computer science; Chemistry; Philosophy; Biology; Linguistics; 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":[0.002095041,0.001762374,0.001997763,0.005264737,0.0009630995,0.003624032,0.002651634,0.002191769,0.1952237],"category_scores_gemma":[0.02017673,0.0006748516,0.002238353,0.007030216,0.000473864,0.002032788,0.002088423,0.001824173,0.1972571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814713,"about_ca_system_score_gemma":0.004705308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715064,"about_ca_topic_score_gemma":0.03504411,"domain_scores_codex":[0.9972124,0.0005386273,0.0006163614,0.0008305424,0.0005140211,0.0002881124],"domain_scores_gemma":[0.9915507,0.002866025,0.001156405,0.001650117,0.002156776,0.0006199355],"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":[0.0001905378,0.00001426013,0.001458512,0.002088371,0.00005463631,0.00003750388,0.00002283988,0.0001350545,0.00006302331,0.0004883535,0.988936,0.006510909],"study_design_scores_gemma":[0.00033567,0.00002314055,0.002922506,0.0008202133,0.00006836307,0.00009942595,0.00004576401,0.0001632307,0.0001419885,0.00107236,0.9942825,0.0000248314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009183424,0.00022525,0.0000793617,0.0001066595,0.00005609883,0.0000327279,0.997717,0.000244157,0.001446851],"genre_scores_gemma":[0.0004229421,0.000220809,0.0003558201,0.0002218367,0.00003738825,0.0001834437,0.99656,0.0001160774,0.001881718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1952237,"threshold_uncertainty_score":0.6530882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541830668682967,"score_gpt":0.4145272641288167,"score_spread":0.399108957441987,"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."}}