{"id":"W4210889142","doi":"10.1177/08404704211057664","title":"Supply chain capacity to respond to the COVID-19 pandemic in Ontario: Challenges faced by a health system in transition","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Canadian Institutes of Health Research","keywords":"Supply chain; Restructuring; Business; Pandemic; Health care; Context (archaeology); Supply chain management; Population; Marketing; Public relations; Coronavirus disease 2019 (COVID-19); Economic growth; Economics; Medicine; Political science; Finance; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003976196,0.0003702443,0.0004793087,0.001444133,0.0008854448,0.0001472045,0.0008378057,0.00006282682,0.0001525344],"category_scores_gemma":[0.00002960781,0.0003359691,0.00009703142,0.001725273,0.00002824615,0.0003061602,0.000787649,0.0005469428,0.00009894877],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004141372,"about_ca_system_score_gemma":0.0001211333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4371374,"about_ca_topic_score_gemma":0.8463091,"domain_scores_codex":[0.9956989,0.0003067735,0.0008106693,0.0009747758,0.000936893,0.001272012],"domain_scores_gemma":[0.9988559,0.00006458255,0.0002240793,0.0006795044,0.00003406795,0.0001418702],"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":[0.002616378,0.001148391,0.2406709,0.009630896,0.0001442533,0.0005372555,0.05777115,0.08497499,0.0000203085,0.192444,0.3250568,0.08498465],"study_design_scores_gemma":[0.00138553,0.0001748145,0.02743193,0.0001593316,0.0000117873,0.000005873882,0.1034949,0.001003895,3.885879e-7,0.0006039856,0.8653055,0.0004220604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3569133,0.0009999168,0.001367174,0.6282887,0.0008997054,0.008819347,0.00007252108,0.0003304118,0.002308977],"genre_scores_gemma":[0.894931,0.0001335147,0.00006786054,0.1013839,0.00007770787,0.002559482,0.00009795366,0.00004154869,0.0007069926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5402488,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885713334146105,"score_gpt":0.2772621102291979,"score_spread":0.2284049768877369,"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."}}