{"id":"W4390898277","doi":"10.1101/2024.01.12.24301257","title":"Using a health equity lens to measure patient experiences of care in diverse healthcare settings","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Western University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Health care; Disadvantaged; Health equity; Emergency department; Psychology; Scale (ratio); Nursing; Medicine; Political science; Public health; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01319544,0.0003240235,0.0002934151,0.002949379,0.001328242,0.002392446,0.0006915171,0.0005637457,0.001663089],"category_scores_gemma":[0.03064013,0.0002237741,0.0006750048,0.001876918,0.002536385,0.002676423,0.006495925,0.001210728,0.00007220316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787532,"about_ca_system_score_gemma":0.001105026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219803,"about_ca_topic_score_gemma":0.003501971,"domain_scores_codex":[0.9875143,0.008952616,0.000935845,0.0004145516,0.001545724,0.0006370458],"domain_scores_gemma":[0.9770154,0.01198303,0.007014707,0.001102053,0.001541997,0.001342837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001483606,0.0003812526,0.9309387,0.0001579842,0.0002016496,0.0001306578,0.03577758,0.0006044733,0.0005413534,0.001981356,0.0005241128,0.02861255],"study_design_scores_gemma":[0.00002450002,0.0005927604,0.9179564,0.0002117093,0.00006633137,0.0003190675,0.07260963,0.001818027,0.0009247796,0.002685596,0.002729989,0.00006123987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953446,0.0001052485,0.001918867,0.0003225261,0.000009068009,0.00009613677,0.0001165517,0.000006299703,0.00208075],"genre_scores_gemma":[0.998219,0.00003331309,0.001465826,0.00007566209,0.0000050937,0.00009043458,0.00005036737,0.000001287753,0.00005899401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01319544,"threshold_uncertainty_score":0.069785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2034068799725744,"score_gpt":0.4899038552203319,"score_spread":0.2864969752477575,"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."}}