{"id":"W2122446461","doi":"10.1016/j.pec.2010.08.013","title":"Health care across a language divide","year":2010,"lang":"en","type":"letter","venue":"Patient Education and Counseling","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Health care; Language barrier; MEDLINE; Psychology; Medicine; Linguistics; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006982577,0.0006062684,0.001175717,0.001083815,0.02221535,0.01191274,0.002251032,0.07516509,0.01846891],"category_scores_gemma":[0.024697,0.0009715498,0.001093944,0.001001696,0.01169974,0.01503062,0.01287054,0.08035436,0.003320128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009242138,"about_ca_system_score_gemma":0.01890442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03387232,"about_ca_topic_score_gemma":0.1072137,"domain_scores_codex":[0.9912581,0.002656089,0.0005915418,0.001046958,0.001563865,0.002883458],"domain_scores_gemma":[0.9790582,0.01072744,0.0009469278,0.0005281292,0.001773165,0.006966082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009925679,0.0001182261,0.002252817,0.0001218483,0.00003734532,0.007216425,0.00791322,0.0001101615,0.0004949747,0.08844536,0.8621805,0.03100981],"study_design_scores_gemma":[0.0001729899,0.0001018844,0.003064983,0.001222237,0.00006438112,0.004843938,0.02276595,0.0006639949,0.0002799609,0.09086476,0.8758531,0.0001018807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001003981,0.0004793935,0.0001126439,0.9860834,0.004279945,0.000005529935,0.000008282043,0.000007388983,0.008019374],"genre_scores_gemma":[0.009098286,0.0004900112,0.0001558794,0.9740398,0.008929766,0.00001824562,0.000004919478,0.00001416997,0.007248907],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07516509,"threshold_uncertainty_score":0.06735027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725173580374885,"score_gpt":0.4417213847851519,"score_spread":0.4144696489814031,"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."}}