{"id":"W4237793057","doi":"10.1515/iupac.87.0650","title":"Tachycardia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cardiac Arrhythmias and Treatments","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); 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":[0.001001528,0.001141541,0.00117322,0.001951377,0.0005817439,0.002393314,0.001890362,0.00141645,0.132824],"category_scores_gemma":[0.009285904,0.0004028718,0.001484905,0.0035241,0.0002803473,0.001459077,0.001363143,0.001385599,0.1413442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155076,"about_ca_system_score_gemma":0.001857993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009629395,"about_ca_topic_score_gemma":0.01777647,"domain_scores_codex":[0.9984198,0.0002542037,0.0003649226,0.0005196751,0.0002896858,0.000151752],"domain_scores_gemma":[0.9967672,0.000815717,0.0004826325,0.0007075687,0.001006132,0.0002208448],"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":[0.0003084254,0.00002424755,0.003066352,0.001417572,0.00005151037,0.0000384827,0.00002457398,0.0001598877,0.00009929112,0.0007146786,0.9826772,0.0114178],"study_design_scores_gemma":[0.0003414889,0.0000348053,0.008061511,0.0009041262,0.00006187833,0.0001894048,0.0000758756,0.0002916481,0.0002903543,0.001637623,0.9880788,0.0000323932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002773193,0.0002080356,0.0001463687,0.0001513817,0.00007082051,0.00003792347,0.9954261,0.0003482088,0.003333941],"genre_scores_gemma":[0.001080173,0.0002246356,0.000380797,0.0002935769,0.00003332837,0.0001419336,0.9949503,0.00008157119,0.00281353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.132824,"threshold_uncertainty_score":0.4443405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225982601893392,"score_gpt":0.4104170735673972,"score_spread":0.3981572475484633,"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."}}