{"id":"W3106939256","doi":"10.12927/hcq.2020.26399","title":"“Flying Blind”: Canada’s Supply Chain Infrastructure and the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Supply chain; Business; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Marketing; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007451444,0.0003378468,0.0004861852,0.002060892,0.01148681,0.01008181,0.002033205,0.001712205,0.006759797],"category_scores_gemma":[0.02450306,0.0004321486,0.0005321877,0.006440021,0.006152584,0.004035455,0.004204052,0.004144756,0.0002685031],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.141471,"about_ca_system_score_gemma":0.3126397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954047,"about_ca_topic_score_gemma":0.9963292,"domain_scores_codex":[0.9927192,0.001957126,0.0001958826,0.0003280698,0.001852314,0.002947466],"domain_scores_gemma":[0.979718,0.005006546,0.002173061,0.0008072758,0.008002021,0.004293154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007030969,0.0004026416,0.4159343,0.002174157,0.0006025768,0.001969118,0.09662437,0.002409065,0.0005666632,0.1877369,0.1628426,0.1280345],"study_design_scores_gemma":[0.0001058434,0.000188117,0.501047,0.005610646,0.0004616475,0.0004146117,0.2021872,0.00164104,0.0005435214,0.01813472,0.2694579,0.0002077138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4645502,0.02874891,0.00175826,0.3430561,0.0009130944,0.0003337419,0.00599932,0.00009115187,0.1545492],"genre_scores_gemma":[0.9710127,0.008277376,0.0009186539,0.01417997,0.0001142089,0.00004013931,0.0007854281,0.00003103436,0.004640297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141471,"threshold_uncertainty_score":0.9957719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1641569843238103,"score_gpt":0.4103719473073906,"score_spread":0.2462149629835803,"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."}}