{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05114113,0.0008691243,0.001703648,0.002308607,0.001981362,0.006217983,0.003672118,0.008788633,0.007970542],"category_scores_gemma":[0.1870636,0.0005223722,0.001584543,0.002552698,0.002585995,0.007866547,0.006163288,0.005762,0.00318178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005068287,"about_ca_system_score_gemma":0.02102723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004320266,"about_ca_topic_score_gemma":0.007335632,"domain_scores_codex":[0.9478835,0.02646532,0.01112188,0.002421012,0.009736893,0.002371386],"domain_scores_gemma":[0.7378201,0.147251,0.01574639,0.003985982,0.0855514,0.009645129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002943189,0.0002904811,0.004408135,0.1015342,0.0002510268,0.002932432,0.03083839,0.0002894908,0.002131305,0.003204516,0.2834723,0.5703534],"study_design_scores_gemma":[0.0001019308,0.0003158352,0.004507171,0.2979299,0.0003714682,0.003188046,0.03259975,0.0004184048,0.0007410594,0.004435879,0.6552317,0.0001588289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.01956232,0.4936791,0.007555335,0.4087144,0.01784474,0.00387757,0.001487475,0.0002262437,0.0470528],"genre_scores_gemma":[0.1597111,0.4743005,0.03100461,0.3085933,0.01077233,0.005627104,0.001655902,0.0002476092,0.008087666],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05114113,"threshold_uncertainty_score":0.2704633,"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."}}