{"id":"W4250886499","doi":"10.1515/iupac.79.1019","title":"Cirrhotic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; 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":[0.000520421,0.0009037456,0.001443777,0.001712008,0.0005903103,0.001671095,0.001182351,0.001098638,0.0790363],"category_scores_gemma":[0.005818834,0.0003335642,0.001536625,0.003270709,0.0001789428,0.001052193,0.0009524036,0.001191751,0.0502396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007906476,"about_ca_system_score_gemma":0.001314203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031558,"about_ca_topic_score_gemma":0.02215559,"domain_scores_codex":[0.9992312,0.0001104488,0.0001727641,0.0002570766,0.0001094195,0.0001190318],"domain_scores_gemma":[0.9983385,0.0003673157,0.000391603,0.0003699254,0.0003750923,0.0001575587],"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":[0.001735474,0.00005416809,0.01667894,0.003177131,0.0003531469,0.0001782264,0.00003458974,0.0003018932,0.0001931636,0.0009790719,0.954033,0.02228129],"study_design_scores_gemma":[0.001847647,0.000130924,0.05734858,0.003172914,0.0006587601,0.001407829,0.0001982215,0.0006824344,0.0005032939,0.004306427,0.9296447,0.00009827565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001681304,0.0009450536,0.0002194617,0.0002004946,0.00008939557,0.00007073795,0.99148,0.0001710133,0.005142482],"genre_scores_gemma":[0.006642899,0.0007470347,0.0004901031,0.0006957354,0.0001046093,0.0003276164,0.9865258,0.00008466429,0.004381643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0790363,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389643879492019,"score_gpt":0.4030067643161344,"score_spread":0.3891103255212142,"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."}}