{"id":"W2902669977","doi":"10.1080/14636778.2018.1549477","title":"Organizational challenges to equity in the delivery of services within a new personalized risk-based approach to breast cancer screening","year":2018,"lang":"en","type":"article","venue":"New Genetics and Society","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"Canadian Institutes of Health Research; Government of Canada; Génome Québec; Genome Canada","keywords":"Equity (law); Mammography; Inclusion (mineral); Breast cancer; Breast cancer screening; Business; Knowledge management; Medicine; Public relations; Computer science; Political science; Psychology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003160845,0.000107625,0.0001782464,0.0000226817,0.00009162417,0.0000241438,0.0001486745,0.00007235413,0.0000360141],"category_scores_gemma":[0.00001102244,0.00008012709,0.00005375635,0.0003005623,0.0000545015,0.00002334078,0.00008358501,0.0001038402,0.000001208486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003965054,"about_ca_system_score_gemma":0.0003587775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003789141,"about_ca_topic_score_gemma":0.001010561,"domain_scores_codex":[0.9990119,0.00003007882,0.0001648058,0.0002319539,0.0003864625,0.0001748282],"domain_scores_gemma":[0.9993884,0.00002563611,0.00006673982,0.0001488677,0.0001904705,0.0001799131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001471424,0.0003367191,0.531831,0.0007637985,0.000447267,0.000004564224,0.3098842,0.007390432,0.007110967,0.002256362,0.01535215,0.1231511],"study_design_scores_gemma":[0.003698193,0.0006693672,0.936207,0.0006266886,0.0002520956,0.00002738143,0.02874089,0.02503657,0.001109923,0.0004218688,0.002852137,0.0003578633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845006,0.003361825,0.005947034,0.004958055,0.00003889139,0.0003385019,0.00003805468,0.00001254796,0.000804416],"genre_scores_gemma":[0.950699,0.0006607388,0.04258371,0.005573423,0.0004081799,0.000006138633,0.000006829451,0.00001096792,0.00005094883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.404376,"threshold_uncertainty_score":0.5728074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09222118932452074,"score_gpt":0.3466075834383833,"score_spread":0.2543863941138626,"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."}}