{"id":"W2057007354","doi":"10.1046/j.1365-2893.2003.00484.x","title":"Improving the accuracy of long‐term prognostic estimates in hepatitis C virus infection","year":2004,"lang":"en","type":"article","venue":"Journal of Viral Hepatitis","topic":"Hepatitis C virus research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Statistics; Stage (stratigraphy); Monte Carlo method; Cirrhosis; Series (stratigraphy); Mathematics; Algorithm; Medicine; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446602,0.0002034742,0.0005600039,0.0004674496,0.00009094433,0.00005614989,0.0002188453,0.0001301249,0.0001400052],"category_scores_gemma":[0.003384951,0.0001448789,0.0002274587,0.000506273,0.00019533,0.0005781734,0.00008958202,0.0007508977,0.00002674378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756401,"about_ca_system_score_gemma":0.000622812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03643692,"about_ca_topic_score_gemma":0.01713171,"domain_scores_codex":[0.9974044,0.0001235128,0.001068956,0.0001761297,0.0008307254,0.0003962614],"domain_scores_gemma":[0.9979504,0.0004077312,0.0006803742,0.0002808222,0.0005054284,0.000175253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001386806,0.0003028863,0.9036819,0.0002196192,0.00006735366,0.0007851952,0.0003532559,0.0001292866,0.01184544,0.00004100078,0.00004837517,0.08238701],"study_design_scores_gemma":[0.002023753,0.001856494,0.9638299,0.001079426,0.00009697155,0.0004647316,0.000006350248,0.0005089014,0.0295612,0.0003929725,0.00005167757,0.0001276463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956772,0.0006516236,0.002064635,0.0004884695,0.0002872994,0.0005572172,0.00001617404,0.00001800912,0.0002393845],"genre_scores_gemma":[0.9924643,0.005699471,0.001366955,0.0001334587,0.0002513987,0.00001933329,0.00000709026,0.00003570364,0.00002226851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08225936,"threshold_uncertainty_score":0.9699795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394738889765141,"score_gpt":0.3328529986521471,"score_spread":0.3089056097544957,"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."}}