{"id":"W4230510113","doi":"10.1515/iupac.88.1478","title":"Vasopressin","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001013446,0.001374051,0.001404221,0.003062843,0.0005835365,0.002368471,0.001557785,0.0011756,0.08223789],"category_scores_gemma":[0.008424836,0.0005427545,0.001476186,0.004781994,0.000302062,0.001575422,0.001763209,0.001687529,0.06435179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913972,"about_ca_system_score_gemma":0.001836361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007710638,"about_ca_topic_score_gemma":0.01469158,"domain_scores_codex":[0.998753,0.0002165115,0.0003595182,0.0003361128,0.0002269454,0.0001079139],"domain_scores_gemma":[0.9963307,0.001323895,0.0008050287,0.0006648167,0.0006635634,0.0002119786],"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":[0.0004532728,0.0000267711,0.004101864,0.006047335,0.0001449203,0.00007327866,0.00005138696,0.0003283696,0.0003797761,0.00110033,0.9690052,0.01828751],"study_design_scores_gemma":[0.0003508549,0.00003597328,0.01028009,0.002001568,0.0001021921,0.0002252236,0.00007209791,0.0002121565,0.0003345268,0.001750525,0.9845919,0.00004292069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002121299,0.0004811197,0.0001169293,0.00008611871,0.00005493073,0.00002481754,0.997637,0.0001582119,0.001228746],"genre_scores_gemma":[0.001002833,0.0005789191,0.0006027019,0.0002076895,0.00003071292,0.0001836379,0.996244,0.00006167857,0.001087868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08223789,"threshold_uncertainty_score":0.2751132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06160923757430966,"score_gpt":0.5518003648353376,"score_spread":0.4901911272610279,"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."}}