{"id":"W4328094380","doi":"10.54691/bcpbm.v38i.3960","title":"China’s Supply Chain During COVID-19: Disruption and Mitigation","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supply chain; Business; China; Damages; Coronavirus disease 2019 (COVID-19); Quarantine; Resilience (materials science); Robustness (evolution); Industrial organization; Marketing","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006256353,0.000375231,0.0002792726,0.001177502,0.0008134627,0.0004592153,0.000376386,0.00008018492,0.0002975998],"category_scores_gemma":[0.0001039739,0.0003534647,0.00007976227,0.002492208,0.0001273056,0.0012882,0.00083291,0.0001113248,0.000803179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012081,"about_ca_system_score_gemma":0.00001677727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143613,"about_ca_topic_score_gemma":0.0001071773,"domain_scores_codex":[0.9975088,0.0000206034,0.00042031,0.0007712881,0.0006178793,0.000661101],"domain_scores_gemma":[0.9991153,0.00001995828,0.0002247878,0.000488793,0.00008452951,0.00006662704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000481404,0.0006505905,0.06372852,0.01649457,0.0005052664,0.001941718,0.001331459,0.03637859,0.001344266,0.08470753,0.06298194,0.7294542],"study_design_scores_gemma":[0.0011531,0.000001554146,0.9408629,0.00009681909,0.0001014719,0.00000416635,0.00123574,0.003593074,0.0000149936,0.005560285,0.04693191,0.0004440216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769226,0.0001159906,0.0004934162,0.01696616,0.0007149935,0.001259228,0.000005829554,0.0009812318,0.002540541],"genre_scores_gemma":[0.9918657,0.0007793672,0.0001452088,0.001607002,0.000779529,0.0003012259,0.0002942735,0.00006116233,0.004166514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8771343,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173834620510394,"score_gpt":0.2466296558691724,"score_spread":0.2348913096640685,"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."}}