{"id":"W2950591964","doi":"","title":"Cultural Differences In Breast Health: Helping all Ethnocultural Groups to Get Screened for Cancer","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Data science; Cancer; World Wide Web; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009580213,0.0003705344,0.0003906774,0.0009153722,0.02069307,0.004257236,0.001832042,0.001452852,0.003296735],"category_scores_gemma":[0.01961147,0.00037378,0.0004038839,0.0009756191,0.005678406,0.002642492,0.007151827,0.003854369,0.0002282754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01565534,"about_ca_system_score_gemma":0.08010774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6877153,"about_ca_topic_score_gemma":0.8460175,"domain_scores_codex":[0.9931351,0.003572838,0.000199624,0.0001970686,0.0009242731,0.001971114],"domain_scores_gemma":[0.9837541,0.004065023,0.0008521905,0.0004278774,0.003111135,0.007789648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00012085,0.0007878004,0.1497498,0.0003502528,0.00005901945,0.001391259,0.6853622,0.0001276177,0.0007935722,0.002912109,0.02900813,0.1293374],"study_design_scores_gemma":[0.00004074888,0.000120786,0.06658458,0.0005595635,0.00004138964,0.0004383204,0.9017323,0.0000776911,0.0002781926,0.001870067,0.02819638,0.00006007793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8317623,0.006213756,0.00116405,0.1198881,0.001079541,0.0003866488,0.0001021228,0.00004766975,0.0393558],"genre_scores_gemma":[0.9725834,0.00399772,0.002060689,0.01770906,0.0001023606,0.0002056349,0.00006995947,0.000020795,0.003250248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877153,"threshold_uncertainty_score":0.6282476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08935819807177614,"score_gpt":0.356464183886621,"score_spread":0.2671059858148448,"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."}}