{"id":"W4252167479","doi":"10.1515/iupac.79.1426","title":"Hyperglycemia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Sociology; Social science; 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":[0.001120728,0.001580892,0.001416231,0.00241458,0.0006773992,0.002672869,0.002325918,0.001566287,0.1620556],"category_scores_gemma":[0.009584207,0.0004378164,0.001621415,0.004827328,0.0002294306,0.001764508,0.001434429,0.001461724,0.1695046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224921,"about_ca_system_score_gemma":0.002192926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311723,"about_ca_topic_score_gemma":0.024947,"domain_scores_codex":[0.9984869,0.0002655647,0.0002702159,0.0005478205,0.0002677931,0.0001617116],"domain_scores_gemma":[0.9969031,0.0007891433,0.0004299494,0.0007163682,0.0009161571,0.0002452251],"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":[0.0002206981,0.00002698922,0.002092847,0.0009864034,0.00005678829,0.00002400368,0.00001630878,0.0001158363,0.0000541905,0.0005397864,0.9874874,0.008378514],"study_design_scores_gemma":[0.0003331713,0.00002879745,0.005858729,0.0007423392,0.00008294501,0.0001132794,0.00007704364,0.0001968596,0.000178227,0.001610935,0.990748,0.0000296402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001572632,0.0001647075,0.00008893376,0.00009774638,0.00004251114,0.00002881958,0.997124,0.0002405197,0.002055467],"genre_scores_gemma":[0.0005437436,0.0001781841,0.000317629,0.0002431997,0.00002144027,0.0001444013,0.996681,0.0000626703,0.001807782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1620556,"threshold_uncertainty_score":0.5421299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982608580190645,"score_gpt":0.4397689756273332,"score_spread":0.4199428898254267,"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."}}