{"id":"W1520635673","doi":"10.2196/mhealth.2866","title":"Metadata Correction: Usage of Multilingual Mobile Translation Applications in Clinical Settings","year":2013,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Computer science; Metadata; World Wide Web; Mobile apps; Internet privacy; Medicine; Nursing; 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":[0.02177137,0.001334415,0.001101704,0.005111011,0.005181037,0.006321615,0.003086019,0.004990733,0.03734637],"category_scores_gemma":[0.2428151,0.0009907807,0.001420663,0.004435186,0.003222349,0.004274946,0.005553592,0.005521342,0.01863857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00417322,"about_ca_system_score_gemma":0.01209839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245648,"about_ca_topic_score_gemma":0.01705076,"domain_scores_codex":[0.9601631,0.009790552,0.01194895,0.001686218,0.01498612,0.001425141],"domain_scores_gemma":[0.7736465,0.1070325,0.01041224,0.01396866,0.09219866,0.002741524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001863208,0.00005437216,0.0008037167,0.001359115,0.00002281459,0.001485134,0.001698983,0.0001022447,0.0007100694,0.002976888,0.9311137,0.05948661],"study_design_scores_gemma":[0.00003622542,0.00006446195,0.00101745,0.001666324,0.00003949976,0.001428647,0.001678297,0.0003951617,0.002682467,0.001730476,0.9891867,0.00007439989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.004604493,0.003304098,0.01565244,0.1564629,0.7927462,0.000557729,0.004528287,0.003420218,0.01872359],"genre_scores_gemma":[0.1551137,0.02429654,0.09523916,0.237881,0.1338105,0.002655666,0.01487641,0.0145573,0.3215697],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03734637,"threshold_uncertainty_score":0.124936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433457086491917,"score_gpt":0.5308237844138306,"score_spread":0.3874780757646389,"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."}}