{"id":"W2343977502","doi":"","title":"Strategies for improved French-language health services: Perspectives of family physicians in northeastern Ontario.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North; Laurentian University","funders":"","keywords":"Snowball sampling; French; Interpreter; Concordance; Thematic analysis; Grounded theory; Medicine; Language barrier; Health care; Population; Quality (philosophy); Nonprobability sampling; Data collection; Family medicine; Nursing; Qualitative research; Medical education; Sociology; Computer science; Linguistics","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":[0.002691695,0.0001828278,0.0001212249,0.0002907828,0.008302702,0.00180211,0.0007329373,0.001037282,0.002526597],"category_scores_gemma":[0.00584747,0.0001901569,0.0001442315,0.0005819632,0.002379944,0.0008272912,0.001287307,0.0008067268,0.0001256754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03250853,"about_ca_system_score_gemma":0.06221152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.840098,"about_ca_topic_score_gemma":0.9456003,"domain_scores_codex":[0.9977012,0.001070774,0.00009406776,0.0001209512,0.0002949,0.0007180392],"domain_scores_gemma":[0.9923592,0.001975612,0.001251752,0.00008802535,0.001276509,0.003048807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001550698,0.0001086899,0.1491114,0.0006215891,0.00002479076,0.004154225,0.787308,0.0002116666,0.002336012,0.001977195,0.01606572,0.0379256],"study_design_scores_gemma":[0.00002064101,0.0001198721,0.1416959,0.0003690569,0.00002032911,0.0006638182,0.8010653,0.0001678971,0.0002436555,0.0002234855,0.05537397,0.00003597633],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520527,0.003478872,0.0003162291,0.03502432,0.00008194019,0.00008253783,0.0001195627,0.00001373258,0.008830047],"genre_scores_gemma":[0.9918875,0.00142032,0.0005144467,0.003126273,0.00001618666,0.00003308125,0.00004073097,0.000004188321,0.002957216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.159902,"threshold_uncertainty_score":0.3216873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07603114801109676,"score_gpt":0.3870725619364994,"score_spread":0.3110414139254026,"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."}}