{"id":"W7011100406","doi":"","title":"Lessons for Canada from International Approaches to Network Resiliency and Reliability","year":2023,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Coordination Office; Government of Canada","keywords":"Reliability (semiconductor); Resilience (materials science); Context (archaeology); Component (thermodynamics); Government (linguistics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.007709514,0.001032436,0.0009868597,0.003415259,0.01047696,0.01968361,0.002411417,0.006418333,0.04196921],"category_scores_gemma":[0.02980436,0.0004151426,0.0008871627,0.006672173,0.01536692,0.009262734,0.006130594,0.01255177,0.001860854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1032508,"about_ca_system_score_gemma":0.261274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775746,"about_ca_topic_score_gemma":0.9790982,"domain_scores_codex":[0.9923747,0.001035234,0.0002470146,0.0004745008,0.002672833,0.003195614],"domain_scores_gemma":[0.9770892,0.004223316,0.0006812759,0.0009353814,0.01141907,0.005651774],"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":[0.00005553583,0.000036713,0.001301417,0.0001218948,0.00002248293,0.0001713875,0.001433887,0.001506551,0.00009537987,0.7528653,0.1958224,0.04656705],"study_design_scores_gemma":[0.00005060391,0.00003954228,0.003583295,0.001075853,0.00006121625,0.0001160194,0.01049637,0.001389789,0.0002459796,0.3328275,0.6499927,0.000121159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007368558,0.01263682,0.00348691,0.6218666,0.002548341,0.00004961433,0.0006855683,0.0001703683,0.3511872],"genre_scores_gemma":[0.6379081,0.05124648,0.008058338,0.08958162,0.002346032,0.0001831234,0.0008180701,0.0007706555,0.2090875],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1032508,"threshold_uncertainty_score":0.7491407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05367280509309902,"score_gpt":0.2903818760158307,"score_spread":0.2367090709227317,"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."}}