{"id":"W1972389364","doi":"10.2196/mhealth.2268","title":"Usage of Multilingual Mobile Translation Applications in Clinical Settings","year":2013,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medizinischen Hochschule Hannover; Deutsche Forschungsgemeinschaft","keywords":"Usability; Medical education; Likert scale; Descriptive statistics; Psychology; Process (computing); Health care; mHealth; Nursing; Medicine; Computer science; Psychological intervention","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":[0.003989316,0.0004966344,0.0003219352,0.0005812182,0.0008927406,0.001740232,0.0006485027,0.0006414329,0.004014278],"category_scores_gemma":[0.01400754,0.0001964024,0.0003160877,0.0004839819,0.0008419902,0.0008891501,0.00264841,0.0004545594,0.001345454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758647,"about_ca_system_score_gemma":0.0006807596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002918418,"about_ca_topic_score_gemma":0.0006097671,"domain_scores_codex":[0.9951439,0.003416018,0.0002993738,0.0003248141,0.0004649035,0.0003509217],"domain_scores_gemma":[0.9880007,0.008596607,0.001189079,0.000497894,0.0008550105,0.0008607954],"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":[0.001765816,0.001646835,0.1466703,0.003636622,0.0001319417,0.01773727,0.2104968,0.0007656247,0.02841175,0.0005524831,0.005249103,0.5829354],"study_design_scores_gemma":[0.0003955938,0.01634636,0.4381279,0.003979533,0.0006093425,0.07743125,0.2992325,0.004113319,0.03431036,0.001958826,0.1230182,0.0004767205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891366,0.001271618,0.003877237,0.0005759117,0.00003756971,0.0001852881,0.00006899538,0.0001468385,0.004699975],"genre_scores_gemma":[0.9934249,0.0009178608,0.004119635,0.0002852044,0.00003954496,0.000135552,0.00006327812,0.00003180452,0.0009822597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004014278,"threshold_uncertainty_score":0.02109772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020698027941089,"score_gpt":0.5162246752330498,"score_spread":0.4141548724389409,"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."}}