{"id":"W3108145447","doi":"10.1186/s12939-020-01322-0","title":"Social inequalities in breast cancer screening: evaluating written communications with immigrant Haitian women in Montreal","year":2020,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Disadvantaged; Medicine; Breast cancer; Breast cancer screening; Referral; Public health; Immigration; Family medicine; Mammography; Health equity; Health care; Focus group; Social inequality; Gerontology; Inequality; Cancer; Nursing; Economic growth; Political science; Sociology; Internal medicine","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":[0.001959922,0.0001288079,0.0003833912,0.0002415948,0.0001272429,0.00006881068,0.0004314868,0.00005558093,0.00005277044],"category_scores_gemma":[0.0001486546,0.0001170828,0.00006439504,0.0002794444,0.00006522073,0.0002600073,0.00013938,0.0006179258,0.000001125081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002135588,"about_ca_system_score_gemma":0.00107886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03408622,"about_ca_topic_score_gemma":0.0338171,"domain_scores_codex":[0.9976309,0.0001689343,0.0007947144,0.0001850746,0.0007116522,0.0005087382],"domain_scores_gemma":[0.9988958,0.0001339355,0.000304759,0.00009886514,0.0003245703,0.0002421344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006155147,0.0002399667,0.7729177,0.0002091756,0.0001285945,0.000134989,0.04458384,0.001666615,0.00008431845,0.0009993725,0.000879938,0.1720003],"study_design_scores_gemma":[0.008811086,0.0009024145,0.9279877,0.002347796,0.00001358522,0.0003306949,0.02688809,0.02950227,0.000005722618,0.002160953,0.0008183575,0.0002313246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7851069,0.0004686712,0.0004265989,0.2130106,0.0001030034,0.000413182,0.0001506627,0.00001413792,0.0003062875],"genre_scores_gemma":[0.9908081,0.0003319186,0.001395364,0.006813968,0.0004547588,0.0001119661,0.00003797019,0.00001425439,0.0000317301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061966,"threshold_uncertainty_score":0.9838132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3586116624277341,"score_gpt":0.531443388244645,"score_spread":0.1728317258169109,"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."}}