{"id":"W4388673186","doi":"10.46747/cfp.6911748","title":"Breast density notification","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Breast density; Breast cancer; Medicine; Gynecology; Family medicine; Computer science; Mammography; Cancer; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006242755,0.0001068997,0.0001402151,0.0003743336,0.0001128223,0.0000450176,0.00007679068,0.00003789084,0.000001715816],"category_scores_gemma":[0.000003731407,0.0001113615,0.000105247,0.001058287,0.00006706818,0.0001439569,0.000008757542,0.0001007221,0.001013073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072411,"about_ca_system_score_gemma":0.0002509901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004330473,"about_ca_topic_score_gemma":0.001247488,"domain_scores_codex":[0.9991645,0.000008799303,0.0001005543,0.0002130481,0.0001391224,0.0003740359],"domain_scores_gemma":[0.9991545,0.00001226237,0.00002313965,0.0002690072,0.0000770481,0.0004640401],"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":[0.00002815339,0.00005876056,0.00771857,0.00005228084,0.00009579677,0.0003031605,0.00009866036,0.000007512233,0.01078367,0.003363945,0.1035429,0.8739465],"study_design_scores_gemma":[0.0003195277,0.00002940152,0.9583333,0.00008109607,0.00004793854,0.00004390408,0.0004081184,0.0003467721,0.0004359155,0.0008092306,0.03893666,0.0002081793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6592331,0.00004903764,0.00002329293,0.00285222,0.0002544774,0.0002156784,0.000131696,0.0002649972,0.3369755],"genre_scores_gemma":[0.9768732,0.000003804254,0.0000261663,0.02205814,0.0002260761,0.000007512802,0.0002222497,0.00002141827,0.0005614159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9506147,"threshold_uncertainty_score":0.9997647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660083955893357,"score_gpt":0.2291507481280894,"score_spread":0.2125499085691559,"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."}}