{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01904002,0.0002122135,0.000252225,0.0009427849,0.008345875,0.007512447,0.001835966,0.001322604,0.005502079],"category_scores_gemma":[0.02428189,0.0002213199,0.000277091,0.001046569,0.006939844,0.003629739,0.006571281,0.001567399,0.0002089723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0260566,"about_ca_system_score_gemma":0.05693562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2966678,"about_ca_topic_score_gemma":0.4288145,"domain_scores_codex":[0.982239,0.01106938,0.000406985,0.0008211324,0.001639874,0.003823575],"domain_scores_gemma":[0.9800093,0.009537442,0.001958682,0.001111558,0.002381002,0.005002018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002031144,0.001079368,0.1903761,0.0006903867,0.0001420414,0.001455874,0.1900945,0.002336402,0.002697153,0.1654659,0.01362637,0.4318328],"study_design_scores_gemma":[0.0001590029,0.0007572299,0.239352,0.001619031,0.0001518072,0.0006939759,0.5205262,0.005016518,0.001478985,0.06725765,0.1628225,0.0001650658],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7567217,0.001440622,0.01284478,0.1670476,0.0001777137,0.0003742282,0.00007983888,0.00005720397,0.06125631],"genre_scores_gemma":[0.9943873,0.0002115478,0.001827926,0.001584328,0.00003008925,0.00006668796,0.00001261011,0.000005589111,0.001873732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2966678,"threshold_uncertainty_score":0.5898821,"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."}}