{"id":"W2294244712","doi":"10.3747/co.23.2914","title":"Cost and Resource Utilization in Cervical Cancer Management: A Real-World Retrospective Cost Analysis","year":2016,"lang":"en","type":"article","venue":"Current Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"Health Canada; Canadian Centre for Applied Research in Cancer Control","keywords":"Medicine; Cervical cancer; Real world data; Cost analysis; Data science; Operations management; Cancer; Operations research; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001890552,0.0003699284,0.0004401607,0.002595081,0.000315476,0.001279287,0.0006445002,0.0004772034,0.0009896208],"category_scores_gemma":[0.008760555,0.000376744,0.0009109114,0.004727485,0.000318274,0.0006670531,0.0006831947,0.0005149603,0.0001312396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005198805,"about_ca_system_score_gemma":0.002427271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1416782,"about_ca_topic_score_gemma":0.1074699,"domain_scores_codex":[0.9980856,0.0007219448,0.0002951265,0.0001862428,0.000498087,0.0002130868],"domain_scores_gemma":[0.99514,0.001159801,0.00249345,0.0002591182,0.0007592623,0.0001884171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002300238,0.00007117044,0.9870171,0.0001119777,0.0004845053,0.0001427014,0.00005785289,0.005802971,0.00005716176,0.0002947051,0.0007682095,0.004961575],"study_design_scores_gemma":[0.00004423301,0.0001724659,0.9784796,0.0001076576,0.0002376131,0.0006029884,0.000354472,0.01798087,0.0001433974,0.0002163976,0.001628861,0.00003145502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988638,0.001152097,0.000869947,0.0003739925,0.000007582682,0.0001331647,0.007919204,0.000008708284,0.0008973087],"genre_scores_gemma":[0.9950781,0.000536254,0.0005937947,0.00005871374,0.00001258386,0.00006026526,0.003523208,0.000003136129,0.0001339693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1416782,"threshold_uncertainty_score":0.281707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357845747520781,"score_gpt":0.3711921366339505,"score_spread":0.2354075618818724,"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."}}