{"id":"W2907053370","doi":"10.2196/11316","title":"Language Translation Apps in Health Care Settings: Expert Opinion","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Expert opinion; mHealth; Knowledge translation; Machine translation; Computer science; Psychology; Internet privacy; Medical education; Medicine; Natural language processing; Nursing; Psychological intervention; Knowledge management; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001934188,0.0002531997,0.0004735813,0.000300808,0.001787769,0.00001490258,0.0002614887,0.0003206682,0.0001410142],"category_scores_gemma":[0.000105564,0.0002440905,0.00004584691,0.0004367432,0.0001314846,0.0001369023,0.0000832791,0.001180518,0.0001109887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000654465,"about_ca_system_score_gemma":0.001447433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005890019,"about_ca_topic_score_gemma":0.002879214,"domain_scores_codex":[0.9946686,0.001963834,0.001370686,0.0005340387,0.0002888094,0.001174003],"domain_scores_gemma":[0.9975259,0.0004947808,0.000556473,0.0006531489,0.000219491,0.0005501991],"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":[0.0004604373,0.0000955895,0.0190269,0.007890486,0.000006067336,0.000001270727,0.6940108,8.409683e-7,0.00001836004,0.002956647,0.01376139,0.2617712],"study_design_scores_gemma":[0.004111468,0.001812217,0.07126627,0.006105721,0.000006106125,0.00001374262,0.3732433,0.001519914,0.00001591037,0.0004321701,0.540747,0.0007261607],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7106832,0.1151858,0.0006961853,0.1289242,0.004339044,0.007376443,0.0001902161,0.001086664,0.03151831],"genre_scores_gemma":[0.9668397,0.00564608,0.00222694,0.02335315,0.001125444,0.0004669456,0.0001701822,0.00005115305,0.0001204544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5269856,"threshold_uncertainty_score":0.9995118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0944183261561185,"score_gpt":0.5110036043383797,"score_spread":0.4165852781822612,"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."}}