{"id":"W1987661709","doi":"10.1558/cam.v10i1.13","title":"The Patient's Lifeworld: Building meaningful clinical encounters between patients, physicians and interpreters","year":2014,"lang":"en","type":"article","venue":"Communication & Medicine","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke; Université Laval","funders":"","keywords":"Lifeworld; Interpreter; Communicative action; Psychology; Qualitative research; Nursing; Medicine; Sociology; Computer science; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003652766,0.0001993101,0.0004141607,0.00008879622,0.002507599,0.00002109239,0.001136649,0.0001757081,0.00003566418],"category_scores_gemma":[0.004108449,0.0001410176,0.00006713272,0.0002066499,0.0007718325,0.0001167323,0.0005466239,0.001574468,0.00003273895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012903,"about_ca_system_score_gemma":0.00005700477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003046795,"about_ca_topic_score_gemma":0.0001194386,"domain_scores_codex":[0.9929784,0.004572209,0.001425347,0.0002839792,0.0003268407,0.0004132203],"domain_scores_gemma":[0.9844342,0.01192804,0.0008745948,0.002061504,0.0005328204,0.0001688087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008898518,0.00004327599,0.6405787,0.00008926402,0.0000691184,5.654943e-8,0.02990174,0.00000137765,0.000009043952,0.01509929,0.02262205,0.2914971],"study_design_scores_gemma":[0.002337235,0.0008838343,0.1872668,0.006307376,0.0001386767,6.436668e-7,0.03142829,0.002358205,0.00000843011,0.005449789,0.7633666,0.0004541395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942351,0.002678328,0.003660085,0.05841257,0.002141416,0.001430641,0.00001585584,0.0003584907,0.03706755],"genre_scores_gemma":[0.9901779,0.001226404,0.0008017547,0.007027023,0.0003666213,0.000140918,0.00007245905,0.00003517027,0.000151803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7407445,"threshold_uncertainty_score":0.998791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0526311293713161,"score_gpt":0.4472511640124281,"score_spread":0.394620034641112,"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."}}