{"id":"W4396734050","doi":"10.2196/58743","title":"Digital Skills to Improve Levels of Care and Renew Health Care Professions","year":2024,"lang":"en","type":"letter","venue":"JMIR Medical Education","topic":"Human Resources and Workforce","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health care; Health professions; Nursing; Psychology; Medical education; Medicine; 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":[0.008178606,0.0006940908,0.0007174778,0.001264962,0.0115496,0.008290811,0.002152087,0.0559778,0.0491535],"category_scores_gemma":[0.03643275,0.000622512,0.001179525,0.0006956152,0.005128877,0.006067285,0.006221192,0.04045808,0.01678846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005586385,"about_ca_system_score_gemma":0.02076937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01838728,"about_ca_topic_score_gemma":0.0437907,"domain_scores_codex":[0.9928206,0.002003206,0.0005806652,0.0004243222,0.00240031,0.001770918],"domain_scores_gemma":[0.9666672,0.01192647,0.001350165,0.0007914432,0.004169658,0.01509489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001331777,0.00008803057,0.000751676,0.00004825342,0.000007589183,0.0004193802,0.0002548982,0.00003004318,0.0001585456,0.0036206,0.9789001,0.0157076],"study_design_scores_gemma":[0.00008586594,0.00008488864,0.001889648,0.0004183583,0.00001971877,0.0008021486,0.002008832,0.000253443,0.000217631,0.01060136,0.983576,0.00004200085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002750874,0.00030338,0.00006296815,0.9867454,0.005327825,0.000008307955,0.00001490339,0.00002071236,0.007241399],"genre_scores_gemma":[0.004396693,0.0004666933,0.000187778,0.9686251,0.009847853,0.00002711274,0.00001397513,0.00001646636,0.01641828],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0559778,"threshold_uncertainty_score":0.1644349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012971447265363,"score_gpt":0.3868321308868877,"score_spread":0.3738606836215247,"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."}}