{"id":"W3127745611","doi":"10.1136/bmjoq-2020-001062","title":"Access to Translator (AT&T) project: Interpreter on Wheels during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"BMJ Open Quality","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Richmond Hospital; Vancouver Coastal Health","funders":"Doctors of BC","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Interpreter; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Computer science; Programming language; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006107853,0.0002063851,0.0004169387,0.00006095576,0.002242478,0.0001434317,0.002125489,0.000222469,0.002234416],"category_scores_gemma":[0.004810333,0.0001512732,0.0001183811,0.000352945,0.00006336562,0.0001826454,0.00223012,0.001089807,0.0006942417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009160737,"about_ca_system_score_gemma":0.001775896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006794604,"about_ca_topic_score_gemma":0.01872,"domain_scores_codex":[0.9887763,0.00859201,0.001157181,0.000548767,0.0003853833,0.0005403475],"domain_scores_gemma":[0.9933298,0.003308704,0.0004459346,0.002316021,0.0003058026,0.0002937099],"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":[0.003633526,0.0001973362,0.7024704,0.003067768,0.0001153086,0.0000127096,0.1855264,0.00004283776,0.0008232784,0.004903592,0.0940173,0.005189457],"study_design_scores_gemma":[0.002003149,0.00009884241,0.1397744,0.002018994,0.00002697533,0.00003917151,0.01603891,0.00003345743,0.0003136586,0.001806057,0.8370105,0.000835871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805227,0.00008708663,0.0004208141,0.06580222,0.0008076711,0.007003638,0.0002234046,0.0001902301,0.04494219],"genre_scores_gemma":[0.9009458,0.00002496119,0.0003003019,0.07773739,0.0001769237,0.00421505,0.00004882692,0.00003505373,0.01651573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7429932,"threshold_uncertainty_score":0.9998192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6229190081136436,"score_gpt":0.6691390779052355,"score_spread":0.04622006979159188,"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."}}