{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003504168,0.0001629091,0.0004460036,0.0004616693,0.0002317591,0.00001578688,0.00008508367,0.0000300827,0.00005629395],"category_scores_gemma":[0.00002867366,0.0001599311,0.00003343081,0.0004963323,0.00003343762,0.00008940242,0.00007315756,0.0002335681,0.000001278964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132164,"about_ca_system_score_gemma":0.0004913743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001220417,"about_ca_topic_score_gemma":0.00007857995,"domain_scores_codex":[0.9981055,0.00006972189,0.000772536,0.0002956141,0.0004000924,0.0003565139],"domain_scores_gemma":[0.9992521,0.00006658427,0.0002758043,0.0001529152,0.00004070696,0.0002119083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212198,0.0003940462,0.905469,0.0001736133,0.00007942872,0.00000650786,0.02958986,0.000007279518,0.0002407178,0.0000128946,0.003162819,0.06074259],"study_design_scores_gemma":[0.00234014,0.001130288,0.9736055,0.00005304985,0.00001790245,0.000003102009,0.01750306,0.000009465959,0.0001366035,0.00001058026,0.005060175,0.0001301418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930527,0.00001335255,0.004446174,0.0003895036,0.00003056233,0.001769031,0.0001488759,0.00003863753,0.0001111829],"genre_scores_gemma":[0.9868088,0.000001066451,0.01131302,0.000309061,0.00003242407,0.00009202658,0.001292787,0.00002571527,0.0001250908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06813647,"threshold_uncertainty_score":0.65218,"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."}}