{"id":"W3018710533","doi":"10.1101/2020.01.30.20019596","title":"Is mammography screening beneficial: An individual-based stochastic model for breast cancer incidence and mortality","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Mammography; Medicine; Mammography screening; Incidence (geometry); Harm; Breast cancer screening; Population; Cancer; Oncology; Demography; Internal medicine; Gynecology; Environmental health; Psychology","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":[0.004308346,0.001286608,0.002460005,0.001390132,0.0007363503,0.002298009,0.003386657,0.00375556,0.01001559],"category_scores_gemma":[0.01287325,0.0008710283,0.001816578,0.001034384,0.002656319,0.001419853,0.001509455,0.002813662,0.001006695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00417027,"about_ca_system_score_gemma":0.002930766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05752107,"about_ca_topic_score_gemma":0.02424937,"domain_scores_codex":[0.9983292,0.0007488582,0.00004041623,0.0003269551,0.0001443237,0.0004101167],"domain_scores_gemma":[0.992442,0.005326845,0.001052017,0.0002425395,0.0004039067,0.0005327696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003515474,0.0001738945,0.01193768,0.00009255065,0.0001888368,0.0003151649,0.0001980809,0.8663062,0.000460736,0.1086303,0.005436032,0.005908979],"study_design_scores_gemma":[0.0001989612,0.0001043654,0.003357307,0.000042503,0.0001248042,0.0001344387,0.00008355321,0.9441132,0.00007501778,0.05016977,0.001538667,0.00005745798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5599194,0.003083601,0.3565917,0.02952672,0.000480491,0.0005950927,0.01233238,0.0008327693,0.03663776],"genre_scores_gemma":[0.957674,0.001678369,0.01139703,0.001428538,0.0002969986,0.0005070149,0.001731333,0.00009312692,0.02519368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05752107,"threshold_uncertainty_score":0.1143726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754667003764452,"score_gpt":0.3914597350181673,"score_spread":0.215993034641722,"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."}}