{"id":"W4295874438","doi":"10.2196/25361","title":"Development of a Digital Assistant to Support Teleconsultations Between Remote Physicians and Frontline Health Workers in India: User-Centered Design Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Health care; Nursing; Digital health; 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":[0.004721211,0.0007630843,0.0002918978,0.0007942948,0.0008364051,0.001727251,0.001882784,0.0009063092,0.002682011],"category_scores_gemma":[0.005023771,0.0004144082,0.0006221158,0.0003203749,0.001066485,0.001090735,0.001636453,0.000632964,0.0004402039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167199,"about_ca_system_score_gemma":0.002279249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453753,"about_ca_topic_score_gemma":0.00186634,"domain_scores_codex":[0.9972773,0.001683316,0.000165272,0.0002776977,0.0002959795,0.0003004222],"domain_scores_gemma":[0.9958853,0.002458893,0.0002542437,0.0002748919,0.000631925,0.0004946422],"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":[0.003529822,0.0100592,0.04355802,0.006739916,0.0002790228,0.0038127,0.104449,0.01810995,0.1277805,0.01112742,0.006001269,0.6645531],"study_design_scores_gemma":[0.005930493,0.06729987,0.1230619,0.002809236,0.002360656,0.004738019,0.1653851,0.17261,0.2019944,0.01003631,0.2428281,0.0009460402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7790349,0.0002671309,0.2035734,0.0006201359,0.00008553828,0.005320105,0.0002502787,0.001674269,0.009174289],"genre_scores_gemma":[0.6575615,0.0002595287,0.332246,0.0002733308,0.00001606651,0.004245256,0.0002287395,0.0001026065,0.005066941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004721211,"threshold_uncertainty_score":0.02496845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286460258743169,"score_gpt":0.373561127506246,"score_spread":0.2806965249188144,"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."}}