{"id":"W4292354273","doi":"10.1097/fch.0000000000000334","title":"The Impact of Interpretation Services Training on Contact Tracing Efforts During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Family & Community Health","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Extendicare (Canada)","funders":"","keywords":"Contact tracing; Coronavirus disease 2019 (COVID-19); Interpretation (philosophy); Pandemic; 2019-20 coronavirus outbreak; Tracing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Training (meteorology); Face (sociological concept); Psychology; Medicine; Computer science; Geography; Sociology; Virology; Outbreak; Pathology; Social 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":[0.01158243,0.0003517919,0.0004187178,0.0005449415,0.001662098,0.001631376,0.001544845,0.001253436,0.009291485],"category_scores_gemma":[0.09426717,0.0003145207,0.0005080047,0.0004824798,0.00118471,0.00175846,0.004006043,0.002209705,0.0007266218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004590062,"about_ca_system_score_gemma":0.01833645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03390827,"about_ca_topic_score_gemma":0.05945585,"domain_scores_codex":[0.9848965,0.009169778,0.0004918193,0.0005508645,0.00156943,0.003321571],"domain_scores_gemma":[0.9474748,0.02826103,0.006149698,0.001713558,0.005250728,0.01115012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002004405,0.005480143,0.3060096,0.003433893,0.0001667707,0.001268804,0.05323884,0.002000214,0.002080631,0.002625961,0.02090191,0.6007888],"study_design_scores_gemma":[0.000258421,0.005431451,0.8666718,0.01106269,0.0003062025,0.001122028,0.06556621,0.003452844,0.001935234,0.002847201,0.04120247,0.0001435212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488333,0.002793965,0.001464684,0.02166378,0.0004254866,0.0005110991,0.0004863145,0.0001259825,0.02369525],"genre_scores_gemma":[0.9926923,0.001197315,0.001718025,0.002282551,0.0001131301,0.0002433194,0.000145139,0.00002353681,0.001584727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03390827,"threshold_uncertainty_score":0.06742179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611786896357367,"score_gpt":0.4883938347109296,"score_spread":0.3272151450751929,"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."}}