{"id":"W4399213372","doi":"10.2196/54137","title":"Roles and Responsibilities of the Global Specialist Digital Health Workforce: Analysis of Global Census Data","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Workforce; Thematic analysis; Digital health; Health informatics; Health information technology; Health management system; Workforce development; Public health informatics; Medicine; Public health; Environmental health; Health policy; Political science; Health care; HRHIS; Nursing; Population; Sociology; Qualitative research; Alternative medicine; Social science","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":[0.003390813,0.0001799648,0.0001637827,0.00299149,0.0004476134,0.0008463838,0.0003598502,0.0002300748,0.002051419],"category_scores_gemma":[0.01326459,0.0001654226,0.0002798914,0.004923671,0.000391114,0.001085357,0.001973969,0.0003682265,0.0004619027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520684,"about_ca_system_score_gemma":0.0026428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03109317,"about_ca_topic_score_gemma":0.03720083,"domain_scores_codex":[0.9983453,0.0006302064,0.0002177569,0.0001117238,0.0004229769,0.0002720819],"domain_scores_gemma":[0.9913249,0.002796685,0.002552876,0.0004398744,0.002118211,0.0007676112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007108772,0.00002931799,0.9436665,0.0003292142,0.00002031388,0.0001224788,0.02486949,0.0001793495,0.0002499891,0.0009249303,0.006734403,0.02280292],"study_design_scores_gemma":[0.000003134601,0.00004711185,0.9314424,0.0001981791,0.000006976575,0.000145657,0.05540323,0.0003194746,0.0001039178,0.0001497853,0.01216887,0.00001117427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833235,0.0003957155,0.0004437682,0.0007747241,0.00001816033,0.0001481944,0.009185773,0.00001324395,0.005696941],"genre_scores_gemma":[0.9901642,0.0007024867,0.001081543,0.0001637096,0.00001267255,0.0002674118,0.00670322,0.00001564363,0.0008891726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03109317,"threshold_uncertainty_score":0.06182438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956585088218259,"score_gpt":0.4509455250984636,"score_spread":0.411379674216281,"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."}}