{"id":"W4387525755","doi":"10.1016/s0140-6736(23)02041-x","title":"Making digital transformations work for health: introducing a new consortium to take forward recommendations from the Lancet and Financial Times Commission","year":2023,"lang":"en","type":"article","venue":"The Lancet","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fondation Botnar","keywords":"Futures contract; Commission; Scopus; Equity (law); Work (physics); Digital health; Political science; Global health; Digital transformation; Public relations; Business; Medicine; MEDLINE; Health care; Finance; Engineering; Law","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":[0.1569692,0.002131038,0.0020559,0.005587275,0.0124763,0.05472557,0.01007513,0.07743935,0.01601607],"category_scores_gemma":[0.264885,0.001287565,0.002811734,0.006324227,0.03164744,0.04854844,0.03559159,0.05163043,0.005512172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01754705,"about_ca_system_score_gemma":0.1410288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03400825,"about_ca_topic_score_gemma":0.05111982,"domain_scores_codex":[0.8788379,0.06467301,0.006877215,0.005442294,0.03184927,0.01232029],"domain_scores_gemma":[0.6626292,0.1772281,0.01100999,0.01540574,0.06013604,0.0735908],"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":[0.00006979465,0.0001187048,0.000732987,0.0005653688,0.00008320418,0.0001726257,0.003799861,0.0002513253,0.0001410505,0.09138894,0.8524901,0.05018616],"study_design_scores_gemma":[0.0001217512,0.00006813042,0.0007508966,0.002148229,0.00006860665,0.0000781242,0.007344586,0.0002927964,0.0002528594,0.07233178,0.9164027,0.0001395566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0001816495,0.002910832,0.001185968,0.9829858,0.008936718,0.00005337554,0.00004271791,0.00005665856,0.003646191],"genre_scores_gemma":[0.01999191,0.01215963,0.01696316,0.9210186,0.01503229,0.0005672767,0.0002787741,0.0004040969,0.01358428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1569692,"threshold_uncertainty_score":0.8301423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062307045479175,"score_gpt":0.3626224451233832,"score_spread":0.2563917405754657,"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."}}