{"id":"W2323065943","doi":"10.1016/j.jval.2014.03.465","title":"Cost & Resource Utilization of Cervical Cancer in British Columbia","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"","keywords":"Cervical cancer; Resource (disambiguation); Business; Medicine; Operations management; Cancer; Computer science; Economics; Internal medicine; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004466505,0.0001830876,0.000322709,0.002115971,0.0009256724,0.001485437,0.000982488,0.0005422398,0.005143018],"category_scores_gemma":[0.005349374,0.0002739619,0.000428363,0.004967948,0.0004595301,0.0004032303,0.0008562796,0.0008760965,0.0003407506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03566052,"about_ca_system_score_gemma":0.02446741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887366,"about_ca_topic_score_gemma":0.9936005,"domain_scores_codex":[0.9991861,0.0001430693,0.00009087737,0.0000572764,0.0002320752,0.0002906201],"domain_scores_gemma":[0.9971712,0.0004689516,0.0005777491,0.00006799,0.0009736217,0.0007405771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002853122,0.0001122482,0.9412576,0.0002663994,0.0002167705,0.0006208894,0.0004591119,0.007231318,0.000214502,0.00227981,0.01765473,0.02940132],"study_design_scores_gemma":[0.00002772402,0.0000392827,0.9811172,0.0001804535,0.0001012798,0.0002841865,0.002741935,0.006531748,0.0001551273,0.0004829711,0.008304681,0.00003347289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523161,0.002578833,0.000119822,0.004528874,0.00005395214,0.00004525798,0.02625241,0.00002678776,0.01407806],"genre_scores_gemma":[0.9871076,0.001621241,0.0001069631,0.000233324,0.00001367347,0.00002113399,0.003135715,0.00001031467,0.007750046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03566052,"threshold_uncertainty_score":0.2587364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09299818825124438,"score_gpt":0.2945068443549896,"score_spread":0.2015086561037452,"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."}}