{"id":"W4385285367","doi":"10.54932/cxwf7311","title":"The urgency of the first link: Canada’s supply chain at breaking point, a national security issue.","year":2023,"lang":"en","type":"report","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec; Center for Interuniversity Research and Analysis on Organizations; Concordia University; Polytechnique Montréal; Université de Montréal; Université Laval; Capital Power (Canada); Université du Québec à Montréal; Université de Sherbrooke; HEC Montréal","funders":"Hydro-Québec; Autorité des Marchés Financiers; Transport Canada; Innovation, Science and Economic Development Canada","keywords":"Supply chain; Resilience (materials science); National security; Business; Asset (computer security); Government (linguistics); Public administration; Political science; Marketing; Computer security; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002939682,0.0005503152,0.0003777494,0.001300534,0.02506177,0.01999959,0.00222581,0.007889271,0.01459812],"category_scores_gemma":[0.009119555,0.0005309663,0.0005675253,0.003418361,0.008474687,0.00839753,0.004133805,0.009604716,0.001626714],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1339106,"about_ca_system_score_gemma":0.3444941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925857,"about_ca_topic_score_gemma":0.9962767,"domain_scores_codex":[0.994976,0.0003389271,0.0001055899,0.0004314886,0.002629871,0.001518194],"domain_scores_gemma":[0.9891605,0.00105607,0.0003315992,0.0002355302,0.005078258,0.004138181],"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":[0.00004892743,0.00002007738,0.003092,0.000231335,0.00002648294,0.0006415144,0.004016969,0.0004194375,0.0004159938,0.1280618,0.8214374,0.04158807],"study_design_scores_gemma":[0.0000136481,0.00001424836,0.004456223,0.0003115286,0.00001568384,0.0001356586,0.007998611,0.0005033912,0.0002016008,0.01605074,0.9702266,0.00007201597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006391793,0.0128697,0.001318025,0.9279837,0.003172157,0.00002869349,0.0008948466,0.0001388797,0.04720228],"genre_scores_gemma":[0.3164532,0.038754,0.00913386,0.3889927,0.0013155,0.0000696428,0.002320018,0.0003276952,0.2426334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8660895,"threshold_uncertainty_score":0.9715937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597547408086331,"score_gpt":0.3178454662453292,"score_spread":0.2818699921644659,"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."}}