{"id":"W4387620784","doi":"10.2196/51884","title":"Developing Health Management Competency for Digital Health Transformation: Protocol for a Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government; University of Washington","keywords":"Protocol (science); Digital health; Qualitative research; Medical education; Medicine; Computer science; Health care; Nursing; Knowledge management; Psychology; Alternative medicine; Sociology; Political 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":[0.1083348,0.003421044,0.003799013,0.005947369,0.0109354,0.00559934,0.006022051,0.00578751,0.06127788],"category_scores_gemma":[0.085549,0.003715026,0.003017614,0.006170939,0.006803883,0.005597612,0.006162178,0.009340254,0.01148469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01415923,"about_ca_system_score_gemma":0.05351572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122302,"about_ca_topic_score_gemma":0.01866486,"domain_scores_codex":[0.9531226,0.03197644,0.005379503,0.002773435,0.003512278,0.003235829],"domain_scores_gemma":[0.9058571,0.04995223,0.005576609,0.01058683,0.02406994,0.00395717],"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":[0.01348799,0.01093226,0.004858602,0.09368293,0.0003362004,0.005984821,0.272959,0.00831462,0.01512372,0.06331331,0.1890216,0.321985],"study_design_scores_gemma":[0.01304015,0.005653272,0.008903012,0.04498649,0.0002530683,0.001108039,0.2384299,0.003534854,0.009113292,0.03881871,0.6353813,0.0007778337],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002291451,0.0001850323,0.00717578,0.0006599354,0.0002276669,0.9841772,0.002935651,0.00006352949,0.002283765],"genre_scores_gemma":[0.001285259,0.0001063357,0.007411952,0.0002328728,0.000009931154,0.9903695,0.0002063052,0.000006130684,0.0003716798],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1083348,"threshold_uncertainty_score":0.5729358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6975808318130117,"score_gpt":0.7174077361391895,"score_spread":0.01982690432617784,"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."}}