{"id":"W4417474401","doi":"10.1097/cin.0000000000001382","title":"Digital Transformation in Ghana’s Health Care Sector","year":2025,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Educational Leadership and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; St. Lawrence College","funders":"","keywords":"Digital transformation; Health care; Digital health; MEDLINE; Transformation (genetics); Telemedicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243345,0.0001094896,0.00007767998,0.0007920751,0.001724681,0.002886625,0.0002166488,0.0006523442,0.008715251],"category_scores_gemma":[0.003238828,0.0001069917,0.00009499014,0.001667828,0.001948621,0.001613435,0.002542112,0.0009691072,0.0003763486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007119318,"about_ca_system_score_gemma":0.01005346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02469591,"about_ca_topic_score_gemma":0.04081403,"domain_scores_codex":[0.9991086,0.0003541211,0.00003888438,0.00003721231,0.00007294201,0.0003882898],"domain_scores_gemma":[0.9967285,0.0009851992,0.0007472961,0.00009753882,0.0003210043,0.001120356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004166803,0.0004784069,0.3889279,0.001142862,0.00003207285,0.009925118,0.1316167,0.0008818118,0.00311364,0.181358,0.03956197,0.2425449],"study_design_scores_gemma":[0.00008766471,0.0002170953,0.4173144,0.001349719,0.00002193272,0.001734911,0.2978185,0.001142631,0.001316884,0.009211469,0.2697596,0.00002521692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8822565,0.002800909,0.0002859323,0.05883474,0.0001540352,0.00007834986,0.000169114,0.00001671576,0.05540368],"genre_scores_gemma":[0.9946407,0.0008934562,0.0001458908,0.0009478905,0.00002405967,0.000009007204,0.00002930365,0.000003059343,0.003306561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02469591,"threshold_uncertainty_score":0.05165446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781003067472523,"score_gpt":0.3452727959504006,"score_spread":0.3174627652756754,"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."}}