{"id":"W2966335156","doi":"","title":"Breast cancer screening.","year":2019,"lang":"en","type":"letter","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer screening; Medicine; Family medicine; Breast cancer; Cancer screening; Alternative medicine; Quality (philosophy); Cancer; Computer science; Mammography; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009445079,0.0008989872,0.0006918329,0.0008390541,0.004024721,0.001840928,0.0011746,0.01978209,0.03837384],"category_scores_gemma":[0.005729464,0.0005795854,0.000855169,0.0005359813,0.000970014,0.001278405,0.001128736,0.01403074,0.02222171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004135543,"about_ca_system_score_gemma":0.005024489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05111158,"about_ca_topic_score_gemma":0.194077,"domain_scores_codex":[0.9987552,0.0001599657,0.0001281806,0.0001733562,0.0005056646,0.000277636],"domain_scores_gemma":[0.9982706,0.0003529578,0.0001043502,0.00005067081,0.0005048114,0.0007165981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001452189,0.00003395092,0.0005133179,0.00002724491,0.00000297845,0.0005826789,0.00003269664,0.00001317212,0.00008049254,0.0005707017,0.9856796,0.01244869],"study_design_scores_gemma":[0.00006923411,0.00005226319,0.00266684,0.0002213694,0.000009821489,0.001092118,0.000152228,0.0001121626,0.00006463732,0.0009857607,0.9945555,0.00001798146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005826011,0.002827315,0.0001186485,0.8940274,0.05133924,0.0000807449,0.0002895825,0.00009068045,0.05064379],"genre_scores_gemma":[0.002250696,0.00172762,0.0001637926,0.8918238,0.03880327,0.00008480286,0.0001363877,0.00002369922,0.06498589],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05111158,"threshold_uncertainty_score":0.1283733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08675170970595433,"score_gpt":0.2988276515055935,"score_spread":0.2120759417996392,"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."}}