{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002815502,0.0002693897,0.0007864957,0.0003312809,0.0007628342,0.000007595734,0.0002229823,0.000502745,0.000368503],"category_scores_gemma":[0.0001230689,0.0002486218,0.00008770417,0.0006915359,0.0001993757,0.0001957039,0.00005684151,0.001336139,0.0002225494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058279,"about_ca_system_score_gemma":0.001996092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352408,"about_ca_topic_score_gemma":0.0005978768,"domain_scores_codex":[0.9938033,0.0008789194,0.00311661,0.0006868346,0.0002976664,0.001216689],"domain_scores_gemma":[0.994976,0.001924824,0.001037515,0.000591156,0.0002715201,0.001198971],"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":[0.0001537782,0.0008334284,0.3538321,0.01016574,0.00000898946,6.198066e-7,0.005201038,0.000007057269,0.00005323074,0.003559285,0.005582007,0.6206027],"study_design_scores_gemma":[0.004294399,0.000457942,0.7953722,0.0002995224,0.0000347402,0.000002559637,0.004335249,0.001291377,0.000008159214,0.00196418,0.1916281,0.000311506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749709,0.00215877,0.0005036589,0.0021515,0.000258981,0.016429,0.00008309509,0.0001461002,0.003298009],"genre_scores_gemma":[0.9580019,0.004010019,0.003360352,0.003432659,0.000374318,0.03034811,0.000138873,0.00004717303,0.0002865742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6202912,"threshold_uncertainty_score":0.9999966,"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."}}