{"id":"W4211044551","doi":"10.1177/08404704211057525","title":"Digitally enabled supply chain as a strategic asset for the COVID-19 response in Alberta","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 Toronto; University of Windsor","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Supply chain; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Asset (computer security); Business; Chain (unit); Virology; Marketing; Computer science; Medicine; Computer security; Outbreak; Internal medicine","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","sts"],"consensus_categories":[],"category_scores_codex":[0.00303193,0.0004016454,0.0003589505,0.0009049576,0.001670699,0.0005631387,0.001257631,0.00006523041,0.0007209516],"category_scores_gemma":[0.0002224498,0.0003322436,0.0002103392,0.001550476,0.00008490908,0.0005709041,0.001443753,0.0003384511,0.0001501304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005371333,"about_ca_system_score_gemma":0.0001813729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869939,"about_ca_topic_score_gemma":0.01162538,"domain_scores_codex":[0.9961916,0.000150191,0.0006791844,0.0008609871,0.0008450025,0.001273044],"domain_scores_gemma":[0.9979663,0.0006842706,0.000334584,0.0008705497,0.00006672055,0.00007750522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006308673,0.0005101628,0.02099566,0.001719354,0.0001838859,0.0004328926,0.0005288717,0.02121973,0.000004149395,0.7728547,0.1680403,0.007201577],"study_design_scores_gemma":[0.002169937,0.0002132691,0.003512628,0.00002707634,0.0000565259,0.000007740491,0.03039482,0.008933361,6.480967e-7,0.04083905,0.9133935,0.0004514426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09483905,0.0009280532,0.001527293,0.8552181,0.002023374,0.01325575,0.0001017864,0.0004496292,0.03165694],"genre_scores_gemma":[0.9038932,0.0001118954,0.00005356601,0.08152658,0.0002057282,0.00381924,0.0002368115,0.00006837605,0.01008457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8090542,"threshold_uncertainty_score":0.999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083532000487602,"score_gpt":0.2915465862784244,"score_spread":0.2607112662735483,"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."}}