{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003156589,0.0002953348,0.0006181742,0.0001305744,0.00007195144,0.00002404892,0.0002956326,0.000447764,0.003418703],"category_scores_gemma":[0.0009907421,0.0002585304,0.0001222642,0.0001676552,0.0003778157,0.00002262486,0.0001950948,0.0004733889,0.00008515323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004687998,"about_ca_system_score_gemma":0.001314301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09196976,"about_ca_topic_score_gemma":0.3216556,"domain_scores_codex":[0.9977708,0.00003298776,0.0003839435,0.0008201621,0.0004705363,0.000521582],"domain_scores_gemma":[0.997959,0.00071036,0.0001130655,0.000467742,0.00005336694,0.0006965327],"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":[0.00009228835,0.00005540038,0.06540378,0.0001237378,0.0001639187,0.00001901006,0.00001897217,6.525888e-7,0.00001231491,0.0002970059,0.9294145,0.004398479],"study_design_scores_gemma":[0.0007381992,0.00006362758,0.01850603,0.0004453768,0.00006486017,0.000007846536,0.0000508307,0.00009428201,0.00002958958,0.0003408668,0.9793714,0.0002870909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09236947,0.004958833,0.0004630816,0.08631877,0.009331794,0.0040732,0.008616826,0.0009268674,0.7929412],"genre_scores_gemma":[0.02645388,0.0006196319,0.006926908,0.00207098,0.007796672,0.000668713,0.0009990743,0.0009293201,0.9535348],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2296859,"threshold_uncertainty_score":0.9999867,"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."}}