{"id":"W4242364378","doi":"10.1515/iupac.79.1018","title":"Cirrhosis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library 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":[0.001079458,0.00126888,0.001298435,0.002317404,0.0006815815,0.002771997,0.002046655,0.001259189,0.2170891],"category_scores_gemma":[0.0102813,0.0004037568,0.001591071,0.004205825,0.0002242373,0.001791843,0.001468371,0.001232077,0.2171181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330886,"about_ca_system_score_gemma":0.00230309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265876,"about_ca_topic_score_gemma":0.02314761,"domain_scores_codex":[0.9985721,0.0002488176,0.0002405118,0.0005295092,0.0002397118,0.0001693794],"domain_scores_gemma":[0.9967411,0.0007739575,0.0003848507,0.0008276369,0.001011766,0.0002607033],"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":[0.0001940895,0.00001820509,0.002090743,0.0008254603,0.0000543173,0.0000217044,0.00001420415,0.0001160765,0.00005307088,0.0006616025,0.9855819,0.01036855],"study_design_scores_gemma":[0.0002483329,0.00002458036,0.004816878,0.0006166701,0.00006380812,0.000105321,0.0000527854,0.0001933467,0.0001590436,0.001741864,0.9919547,0.00002263328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001865892,0.0002090644,0.0001232358,0.0001532582,0.00006081964,0.00003255996,0.9953778,0.0003661178,0.003490536],"genre_scores_gemma":[0.0007915281,0.0001994766,0.0003592456,0.0003214654,0.00003027488,0.0001339372,0.9950619,0.0001072933,0.002994851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2170891,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157636543549271,"score_gpt":0.4135359609266097,"score_spread":0.3977723065716826,"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."}}