{"id":"W2289101218","doi":"10.1177/0969141315610790","title":"Audit feedback on reading performance of screening mammograms: An international comparison","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Screening","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Hôpital du Saint-Sacrement","funders":"National Cancer Institute","keywords":"Medicine; Audit; Mammography; Screening mammography; Recall rate; Quality assurance; Breast screening; Recall; Medical physics; Breast cancer; Cancer; Accounting; Pathology; External quality assessment; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00235515,0.0001920182,0.0006273207,0.0002842238,0.00008190191,0.00002902801,0.0006259602,0.0002047195,0.0008362488],"category_scores_gemma":[0.001580662,0.0001199236,0.0002308762,0.0002398583,0.0001701083,0.0006041999,0.00009827451,0.0006516341,0.00001141668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230235,"about_ca_system_score_gemma":0.0001844986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005907523,"about_ca_topic_score_gemma":0.000007942077,"domain_scores_codex":[0.9950228,0.00008719871,0.001127804,0.0002228836,0.003171114,0.0003681566],"domain_scores_gemma":[0.9974719,0.0003394721,0.0008470922,0.0002376674,0.0004386342,0.0006652856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002506129,0.0001444722,0.3717368,0.00003399365,0.0002196054,0.0001882527,0.0001464093,0.0001271919,0.001805633,0.0001922654,0.001760943,0.6211383],"study_design_scores_gemma":[0.01751817,0.0148082,0.8161598,0.03996322,0.0005489407,0.003770614,0.002400666,0.02625053,0.01658237,0.00008082526,0.06111077,0.0008059455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559507,0.0001861323,0.03526837,0.006316702,0.0005608573,0.00008443584,0.000004239353,0.00002539922,0.001603139],"genre_scores_gemma":[0.981369,0.0002743185,0.01622002,0.0006056624,0.001412202,0.000001398053,0.000004018862,0.00002137359,0.00009199674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6203324,"threshold_uncertainty_score":0.9156338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09527687553669092,"score_gpt":0.3861126826422218,"score_spread":0.2908358071055309,"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."}}