{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01052143,0.0002371889,0.0003957799,0.0007025639,0.0009797955,0.0002489325,0.0004660421,0.00006135023,0.0001386276],"category_scores_gemma":[0.00008213486,0.0002166883,0.0001090551,0.001373258,0.00006875403,0.0003609229,0.0001162188,0.0002446592,0.0003464206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491686,"about_ca_system_score_gemma":0.001161178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001481513,"about_ca_topic_score_gemma":0.00004581218,"domain_scores_codex":[0.9948711,0.001086658,0.001062597,0.0006471753,0.001056643,0.001275871],"domain_scores_gemma":[0.9979464,0.0006673296,0.0002376225,0.0004044172,0.0005534743,0.0001907728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003472437,0.00251331,0.0003936622,0.008611315,0.0002439962,0.000004834796,0.4263993,0.000005588095,0.000002426182,0.1420839,0.1755627,0.2407065],"study_design_scores_gemma":[0.01628554,0.009596517,0.007720035,0.00180882,0.000001261351,0.000001673728,0.1532894,0.0001984794,0.000008051499,0.03262438,0.7780673,0.0003985368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00007765464,5.509229e-7,0.01647245,0.008904992,0.00002529823,0.9713616,0.00006285714,0.0002312522,0.002863291],"genre_scores_gemma":[0.0005473741,1.186303e-7,0.00349355,0.0001345552,0.000100697,0.9924703,0.0001899066,0.00004957781,0.003013927],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6025046,"threshold_uncertainty_score":0.8836294,"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."}}