{"id":"W4404912850","doi":"10.2196/64590","title":"Video Remote Sign Language Interpreting in Health Communication for Deaf People: Protocol for a Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Interpreter; Sign language; Language interpretation; Protocol (science); Randomized controlled trial; Health care; Medicine; American Sign Language; Interpretation (philosophy); Applied psychology; Medical education; Psychology; Nursing; Computer science; Linguistics; Alternative medicine","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":[0.04709359,0.006902956,0.01526964,0.003794521,0.003612057,0.005798402,0.004009305,0.008801581,0.08195212],"category_scores_gemma":[0.04191218,0.003246854,0.007386249,0.004880195,0.004467686,0.004344725,0.002047509,0.008811163,0.01053556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007181321,"about_ca_system_score_gemma":0.02058967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309415,"about_ca_topic_score_gemma":0.006007145,"domain_scores_codex":[0.9671513,0.02063142,0.003981325,0.002400467,0.003295116,0.002540457],"domain_scores_gemma":[0.980848,0.006878116,0.003930269,0.002266447,0.004218236,0.00185897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.7909787,0.01654548,0.001194827,0.09714135,0.006002365,0.0004636824,0.001063282,0.002767791,0.002602261,0.008981016,0.02569955,0.04655974],"study_design_scores_gemma":[0.9376214,0.01819799,0.001491171,0.009978605,0.001791203,0.0000686119,0.0003062984,0.002016163,0.000747463,0.003086716,0.02457581,0.0001185606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0006920455,0.000246896,0.0006488416,0.00008873316,0.0002334775,0.9973828,0.0004164281,0.00005140602,0.0002392818],"genre_scores_gemma":[0.0006653332,0.00008731056,0.00109281,0.00006904134,0.00002311497,0.9978649,0.00004209093,0.000002327356,0.0001530568],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08195212,"threshold_uncertainty_score":0.2741572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448848160355635,"score_gpt":0.5601788316733174,"score_spread":0.4152940156377539,"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."}}