{"id":"W4416974956","doi":"10.2196/79073","title":"Assessing the Role of Medical Caption Technology to Support Physician-Patient Communication for Patients With Hearing Loss: Mixed Methods Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Michigan","keywords":"Terminology; Cognition; Fidelity; Augmentative and alternative communication; Transcription (linguistics); Closed captioning","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":[0.02322419,0.0007729937,0.0007452026,0.0009934225,0.00168964,0.002401368,0.00114077,0.001047655,0.002594943],"category_scores_gemma":[0.04685297,0.0006309297,0.001093603,0.000582887,0.001106461,0.001447097,0.00186201,0.001042529,0.0006112864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419302,"about_ca_system_score_gemma":0.003574955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334273,"about_ca_topic_score_gemma":0.003333547,"domain_scores_codex":[0.987879,0.008713973,0.001157067,0.0007924162,0.0009419041,0.000515655],"domain_scores_gemma":[0.9507761,0.03227354,0.004284333,0.002946197,0.007886248,0.0018336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01297975,0.04827161,0.2818827,0.005546417,0.001032867,0.001873888,0.3109421,0.001586656,0.01232915,0.0006591883,0.003177453,0.3197182],"study_design_scores_gemma":[0.006048673,0.2065624,0.3983963,0.002085341,0.001763282,0.002327368,0.3345499,0.008669319,0.01602555,0.001469525,0.02132449,0.0007779459],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994553,0.0001665248,0.001718051,0.0001415896,0.0000243315,0.002652916,0.0001654533,0.00002353947,0.0005545123],"genre_scores_gemma":[0.97378,0.0004806524,0.01441234,0.0006917283,0.00005902917,0.009672561,0.0002241889,0.00002509958,0.0006543265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02322419,"threshold_uncertainty_score":0.1228227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647064531434359,"score_gpt":0.387840624239917,"score_spread":0.3513699789255734,"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."}}