{"id":"W4283163921","doi":"10.1108/imds-01-2022-0008","title":"A digital transformation-enabled framework and strategies for public health risk response and governance: China's experience","year":2022,"lang":"en","type":"article","venue":"Industrial Management & Data Systems","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Digital transformation; Emergency management; Corporate governance; Process management; Government (linguistics); Knowledge management; Risk management; Digital health; Risk analysis (engineering); Engineering; Business; Computer science; Health care; Political science","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":[0.003974774,0.00042953,0.0002530929,0.001341517,0.003820808,0.003773287,0.0009625005,0.001350499,0.002656323],"category_scores_gemma":[0.002716613,0.0001780415,0.0003887678,0.00243115,0.005946188,0.003423729,0.004243755,0.001265454,0.0001294516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01460764,"about_ca_system_score_gemma":0.02221796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07030443,"about_ca_topic_score_gemma":0.05400428,"domain_scores_codex":[0.9980245,0.0009191306,0.000128767,0.0001585391,0.0003166863,0.0004524708],"domain_scores_gemma":[0.9986306,0.0004782196,0.0001504227,0.0001435718,0.000192418,0.0004046896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009802929,0.0003290079,0.05577309,0.001025635,0.00004739184,0.005208854,0.2504253,0.01231412,0.002840853,0.4850785,0.01633721,0.1705219],"study_design_scores_gemma":[0.0001386008,0.0004725944,0.09280363,0.001284549,0.00008717498,0.001599533,0.3280203,0.03448454,0.003295151,0.08422939,0.4533332,0.0002513878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607427,0.00696254,0.01632582,0.0334799,0.0002742356,0.0005397036,0.000163207,0.0001684354,0.08134343],"genre_scores_gemma":[0.9927188,0.00132676,0.001814191,0.0004186339,0.00002476715,0.00005616477,0.00004092989,0.000005941522,0.003593747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07030443,"threshold_uncertainty_score":0.1397904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020561506255193,"score_gpt":0.3096257346101643,"score_spread":0.2075695839846451,"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."}}