{"id":"W4211222474","doi":"10.1111/1468-5973.12396","title":"China's COVID‐19 pandemic response: A first anniversary assessment","year":2022,"lang":"en","type":"article","venue":"Journal of Contingencies and Crisis Management","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"China; Crisis management; Restructuring; Bureaucracy; Pandemic; Government (linguistics); Coronavirus disease 2019 (COVID-19); State (computer science); Political science; Politics; Crisis response; State of emergency; Emergency management; Public administration; Public relations; Political economy; Sociology; Law; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003936222,0.0001071071,0.0001988144,0.0002552563,0.00158012,0.0001748713,0.0004800216,0.00002044622,0.0007203213],"category_scores_gemma":[0.00006503548,0.00009712835,0.0001185508,0.0003184644,0.00013216,0.0002714041,0.0004375734,0.000181583,0.000001426292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003074565,"about_ca_system_score_gemma":0.0001111996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002609447,"about_ca_topic_score_gemma":0.0001173269,"domain_scores_codex":[0.9979209,0.0004005109,0.000356145,0.0001742306,0.0008672521,0.0002809838],"domain_scores_gemma":[0.9991456,0.00008031535,0.0004041297,0.0001283456,0.00005044302,0.000191149],"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":[0.001782014,0.00087252,0.1515827,0.0003924843,0.001164041,0.001625189,0.1432043,0.003809567,0.0000766242,0.08181468,0.5396149,0.07406098],"study_design_scores_gemma":[0.000483719,0.0001669271,0.06196313,0.00001089509,0.00008635513,0.000009490859,0.2033813,0.00003857352,1.997861e-7,0.0007886792,0.7329624,0.0001083667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732218,0.002374461,0.00355299,0.0487798,0.001140105,0.0005603933,0.000006817567,0.00005978724,0.07030385],"genre_scores_gemma":[0.9876696,0.001863297,0.0004201854,0.0009888503,0.00008899778,0.00001148815,5.719818e-7,0.000006702123,0.008950317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1933475,"threshold_uncertainty_score":0.9997197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335891290899641,"score_gpt":0.325061047903573,"score_spread":0.3017021349945766,"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."}}