{"id":"W2607796523","doi":"10.1002/ijc.30754","title":"The effect of population‐based mammography screening in Dutch municipalities on breast cancer mortality: 20 years of follow‐up","year":2017,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; Rijksinstituut voor Volksgezondheid en Milieu; Genomic Health","keywords":"Medicine; Breast cancer; Poisson regression; Mammography; Demography; Cancer; Breast cancer screening; Population; Mammography screening; Gynecology; Internal medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006568964,0.0001041397,0.0003408956,0.0002165526,0.00006095264,0.00003935158,0.0004799213,0.00005101085,0.00008231456],"category_scores_gemma":[0.0001983597,0.00007423048,0.0002655251,0.00008655179,0.0001176341,0.0001865012,0.00004121734,0.0002197092,2.817565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291692,"about_ca_system_score_gemma":0.0001458378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975158,"about_ca_topic_score_gemma":0.005988379,"domain_scores_codex":[0.9981358,0.00006164292,0.000540796,0.00009723689,0.001022942,0.0001415882],"domain_scores_gemma":[0.9981568,0.0001887863,0.0008806707,0.0002397535,0.0004746165,0.00005940129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002989612,0.00001551602,0.9567065,0.00002212713,0.0005239553,0.00003859177,0.0001105435,0.002099841,0.0002532965,0.0001165283,0.0001925794,0.03693087],"study_design_scores_gemma":[0.002949075,0.0002239754,0.9919553,0.001813346,0.0001416003,0.00001781939,0.00009938124,0.0003143455,0.001795327,0.00009783878,0.0005287514,0.0000632703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953889,0.001248802,0.0000221822,0.001905152,0.0009575775,0.0001070138,0.00009090002,0.000002667431,0.0002767894],"genre_scores_gemma":[0.9990091,0.0003230147,0.00005657849,0.0001619216,0.0003363727,0.00001069693,0.000004190217,0.00001047543,0.00008760577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0368676,"threshold_uncertainty_score":0.986776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032798938394487,"score_gpt":0.416647364977872,"score_spread":0.3563193755939271,"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."}}