{"id":"W2766057137","doi":"10.3747/co.24.3608","title":"Cost Analysis of Breast Cancer Diagnostic Assessment Programs","year":2017,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; University of Toronto; Canadian Centre for Applied Research in Cancer Control; St. Michael's Hospital; University Health Network","funders":"","keywords":"Medicine; Breast cancer; Cancer; Bioinformatics; Data science; Internal medicine; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004677667,0.0005784952,0.000670407,0.00304465,0.000292622,0.001048057,0.001047849,0.0004016313,0.004111585],"category_scores_gemma":[0.03970538,0.0002755572,0.001926457,0.004316218,0.000270998,0.0006810598,0.0008025055,0.0005134242,0.0001380957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02090274,"about_ca_system_score_gemma":0.007566921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2134475,"about_ca_topic_score_gemma":0.1790122,"domain_scores_codex":[0.9934584,0.003624289,0.0003741418,0.0002722651,0.00162911,0.0006417856],"domain_scores_gemma":[0.9830576,0.009129599,0.002882028,0.0004055478,0.003882985,0.0006423012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005857743,0.0009182945,0.6583923,0.004398575,0.004426564,0.0002804235,0.0004281244,0.1055105,0.000307279,0.01001136,0.01122251,0.1982463],"study_design_scores_gemma":[0.0008636976,0.002050119,0.8517914,0.001139279,0.003324065,0.0003202424,0.0007457474,0.1251334,0.0005778844,0.003832288,0.01014789,0.00007402206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453827,0.008932653,0.006416932,0.002966117,0.00009933484,0.002261709,0.01842164,0.00007166422,0.0154473],"genre_scores_gemma":[0.9923143,0.001083247,0.002044897,0.0000920126,0.00002764857,0.0003336404,0.003218991,0.000009005294,0.0008762216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134475,"threshold_uncertainty_score":0.4244103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3596852856840825,"score_gpt":0.5544265172028521,"score_spread":0.1947412315187695,"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."}}