{"id":"W2598481489","doi":"10.1002/hep.27525","title":"Poster Session 3: Cost-Effectiveness; HCV: Diagnostics, Epidemiology, and Natural History","year":2014,"lang":"en","type":"article","venue":"Hepatology","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Medicine, Dentistry and Health Sciences, University of Western Australia; University of California, San Francisco; Université de Montréal; Monash University; Westmead Millennium Institute for Medical Research; University of New South Wales; Burnet Institute; Johns Hopkins University; Newcastle University; Gilead Sciences","keywords":"Session (web analytics); Natural history; Epidemiology; Virology; Medicine; Computer science; Internal medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01560177,0.001373927,0.001590412,0.001147356,0.001172743,0.001998789,0.002065191,0.003998819,0.2456801],"category_scores_gemma":[0.03321251,0.0006760384,0.002871234,0.001024436,0.0005210318,0.001224288,0.002244941,0.004248918,0.03587469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004207745,"about_ca_system_score_gemma":0.008550433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574761,"about_ca_topic_score_gemma":0.002121404,"domain_scores_codex":[0.9945786,0.003485994,0.0005299751,0.0002918955,0.0007031158,0.0004104376],"domain_scores_gemma":[0.9856371,0.005011833,0.001523757,0.000789006,0.004354001,0.002684293],"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":[0.01599413,0.003234798,0.003744697,0.01069529,0.0004879678,0.0001168128,0.000379908,0.002157021,0.0008061412,0.004559363,0.799445,0.1583789],"study_design_scores_gemma":[0.03750496,0.0103938,0.07719424,0.02623889,0.0007514691,0.000356381,0.0006401229,0.004790812,0.00297175,0.01749641,0.8214308,0.0002304065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"other","genre_scores_codex":[0.02000099,0.00514161,0.02117445,0.05231119,0.01314686,0.6064579,0.09994698,0.001182889,0.1806372],"genre_scores_gemma":[0.04728284,0.004700548,0.02390993,0.01212525,0.004339842,0.8176419,0.01969357,0.0004186344,0.06988747],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2456801,"threshold_uncertainty_score":0.8218818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044296763497823,"score_gpt":0.3288191107609823,"score_spread":0.2783761431260041,"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."}}