{"id":"W55661688","doi":"10.52034/lanstts.v5i.160","title":"Making the case for Community Interpreting in health care: from needs assessment to risk management","year":2021,"lang":"en","type":"article","venue":"Linguistica Antverpiensia New Series – Themes in Translation Studies","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Interpreter; Health care; Government (linguistics); Public relations; Immigration; Confidentiality; Refugee; Language barrier; Resistance (ecology); Political science; Medicine; Psychology; Nursing; Business; Law; 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":[0.05666537,0.0007088674,0.001504377,0.004368112,0.03223314,0.02102207,0.006093085,0.009979306,0.003187781],"category_scores_gemma":[0.07260504,0.0007483399,0.0008465645,0.004174492,0.03954668,0.01668793,0.02208528,0.01692399,0.0003963688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06185653,"about_ca_system_score_gemma":0.2544074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4057728,"about_ca_topic_score_gemma":0.5200974,"domain_scores_codex":[0.9541999,0.02600615,0.002041615,0.001132465,0.009786155,0.00683371],"domain_scores_gemma":[0.9064704,0.04037522,0.005754407,0.001556243,0.01716487,0.02867891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003476989,0.0002451656,0.009486496,0.001896139,0.0000299494,0.002805669,0.7587869,0.000333071,0.0004067369,0.04116822,0.03851632,0.1462905],"study_design_scores_gemma":[0.00001094988,0.00005557486,0.005003992,0.003451763,0.00001429682,0.0008131344,0.8933896,0.0002476562,0.0001318577,0.0310284,0.06574361,0.0001091508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05220747,0.01432505,0.003303527,0.9055831,0.001061083,0.0003322038,0.00003654338,0.00007769269,0.02307322],"genre_scores_gemma":[0.8585044,0.04294417,0.02156245,0.06921399,0.001183809,0.0004399351,0.00009423575,0.00008847244,0.005968468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4057728,"threshold_uncertainty_score":0.8068218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543689682589273,"score_gpt":0.5043125299202762,"score_spread":0.3499435616613489,"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."}}