{"id":"W2955697732","doi":"10.1093/jnci/djz131","title":"Annual vs Biennial Screening: Diagnostic Accuracy Among Concurrent Cohorts Within the Ontario Breast Screening Program","year":2019,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Toronto General Hospital; University Health Network; Cancer Care Ontario; Public Health Ontario","funders":"Canadian Cancer Society","keywords":"Medicine; Family history; Mammography; Breast cancer; Ovarian cancer; Gynecology; Obstetrics; Breast cancer screening; Cancer; Demography; Retrospective cohort study; Oncology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002530077,0.0002433577,0.0002812645,0.0009737242,0.0006096012,0.0009222289,0.0009030931,0.0003616936,0.000777145],"category_scores_gemma":[0.01211403,0.0002839621,0.0004714244,0.0010766,0.0004666505,0.0003758934,0.0007668819,0.0003556842,0.00009355559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003042933,"about_ca_system_score_gemma":0.002985453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6016035,"about_ca_topic_score_gemma":0.7255735,"domain_scores_codex":[0.9984377,0.0002705811,0.000114459,0.0003230141,0.0006269511,0.0002272749],"domain_scores_gemma":[0.9938914,0.001263408,0.00258253,0.0004581799,0.001341855,0.0004627858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005873935,0.000005845382,0.9984472,0.00001114225,0.00003785574,0.00001139992,0.00009820052,0.00002550783,0.00003495629,0.000008685182,0.00007921117,0.001181177],"study_design_scores_gemma":[0.000004996428,0.00001795154,0.9993812,0.00001583194,0.00003450223,0.0000408003,0.0001098959,0.000230097,0.00003282885,0.00001006404,0.0001195398,0.000002394226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969993,0.000776977,0.0001390534,0.00009736203,0.000008792091,0.00003921096,0.0009173017,0.000008733959,0.001013346],"genre_scores_gemma":[0.9990814,0.0001716693,0.0001262389,0.000016159,0.000004280909,0.00001110377,0.0004710135,0.00000160256,0.0001165336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3983965,"threshold_uncertainty_score":0.8014854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06431366215747915,"score_gpt":0.3597744877929031,"score_spread":0.295460825635424,"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."}}