{"id":"W4403475292","doi":"10.2196/63095","title":"Digital Translation Platform (Translatly) to Overcome Communication Barriers in Clinical Care: Pilot Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Translation (biology); Computer science; Human–computer interaction; World Wide Web; Biology","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":[0.01793057,0.001002803,0.0007803949,0.001171944,0.002001449,0.001678087,0.001300746,0.001221272,0.005317988],"category_scores_gemma":[0.02870192,0.0007155968,0.0008702066,0.0007688884,0.001610115,0.001737202,0.003801032,0.001593644,0.001224594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418499,"about_ca_system_score_gemma":0.006378742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946979,"about_ca_topic_score_gemma":0.003549475,"domain_scores_codex":[0.9900748,0.007205213,0.0004567838,0.0004871919,0.0006054245,0.001170588],"domain_scores_gemma":[0.9718378,0.01681836,0.001281685,0.002288451,0.003890477,0.003883399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01001798,0.1083289,0.06806601,0.006500876,0.0002166504,0.01000889,0.2999446,0.002047508,0.01612728,0.001407809,0.008626441,0.468707],"study_design_scores_gemma":[0.01672821,0.3473059,0.2152032,0.002595251,0.0008817595,0.005631544,0.3171612,0.008546056,0.02340938,0.002397829,0.05959866,0.0005409497],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873486,0.000114349,0.003057489,0.0003147248,0.00005548683,0.007094374,0.0001446966,0.00009732263,0.001773101],"genre_scores_gemma":[0.9536278,0.0004093188,0.02700278,0.0008147658,0.0001038322,0.01580965,0.0002945633,0.00007641946,0.001860892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793057,"threshold_uncertainty_score":0.09482706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3104775212508314,"score_gpt":0.602379283645543,"score_spread":0.2919017623947116,"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."}}