{"id":"W2107325458","doi":"10.1186/s12939-015-0212-9","title":"Shrinking the language accessibility gap: a mixed methods evaluation of telephone interpretation services in a large, diverse urban health care system","year":2015,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Global Health Research; University Health Network; Canadian Institute for Health Information","funders":"","keywords":"Health services research; Health care; Health policy; Context (archaeology); Service provider; Public health; Medicine; Health administration; Language barrier; Service delivery framework; Public relations; Nursing; Business; Service (business); Marketing; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.06465074,0.001144605,0.001447073,0.002510274,0.004787777,0.003816007,0.002751126,0.001854495,0.002439403],"category_scores_gemma":[0.04207892,0.001249245,0.002359324,0.002758822,0.002791491,0.00315355,0.004236668,0.00198508,0.0002977957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309916,"about_ca_system_score_gemma":0.02161499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02942916,"about_ca_topic_score_gemma":0.07021948,"domain_scores_codex":[0.9394662,0.04877542,0.003393483,0.001706615,0.003220981,0.003437215],"domain_scores_gemma":[0.9518346,0.03118732,0.005255592,0.002063176,0.007321957,0.002337316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.009597114,0.1010442,0.2120985,0.01123137,0.002022748,0.00190777,0.4251477,0.00325126,0.005150384,0.00202817,0.003012784,0.223508],"study_design_scores_gemma":[0.007832801,0.1255532,0.296423,0.00339352,0.001756649,0.0003421218,0.5436075,0.007233943,0.003403008,0.001813978,0.008272444,0.00036789],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759269,0.0002632568,0.00166608,0.0003913633,0.00002035844,0.02032189,0.0003343657,0.00001964627,0.001056079],"genre_scores_gemma":[0.9239622,0.0006339173,0.01842205,0.001237958,0.00005836465,0.05464176,0.0003345083,0.00002078997,0.0006883921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06465074,"threshold_uncertainty_score":0.3419099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2513050724318227,"score_gpt":0.6267528693439758,"score_spread":0.3754477969121531,"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."}}