{"id":"W4250112698","doi":"10.32920/ryerson.14655681","title":"Probabilistic power transmission system reliability evaluation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Probabilistic logic; Upgrade; Reliability engineering; Transmission system; Transmission (telecommunications); Reliability (semiconductor); Electric power system; Power transmission; Plan (archaeology); Business system planning; Computer science; Fault (geology); Asset (computer security); Engineering; Power (physics); Telecommunications; Systems engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001969661,0.000673427,0.000556486,0.0009083676,0.0002885671,0.0007019021,0.0006339832,0.0005138543,0.003659381],"category_scores_gemma":[0.007591163,0.0003063894,0.0006323463,0.0009896726,0.0002747209,0.00101341,0.0004966295,0.0005571338,0.0003400266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006946887,"about_ca_system_score_gemma":0.0007171609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034788,"about_ca_topic_score_gemma":0.003358568,"domain_scores_codex":[0.9984552,0.0007117961,0.00005937863,0.0001180892,0.0005720429,0.00008355987],"domain_scores_gemma":[0.9973859,0.001769789,0.0001826528,0.0001714071,0.0004593092,0.00003091198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002396805,0.000007321235,0.0006406991,0.00002517439,0.00001218704,0.00001884226,0.000008405364,0.985034,0.0003766928,0.00225395,0.0002589806,0.01133971],"study_design_scores_gemma":[0.000002699009,0.00002675625,0.0004240886,0.00000392625,0.000005051549,0.00001590211,0.00000502403,0.997583,0.0002496221,0.001430048,0.0002503765,0.000003497301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1556159,0.0007026285,0.822192,0.0003084482,0.00003215257,0.000237446,0.0008405782,0.0008215667,0.01924935],"genre_scores_gemma":[0.9467464,0.0002769389,0.05046703,0.00001816496,0.00001829897,0.0001121141,0.00052292,0.00006500782,0.001773113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004034788,"threshold_uncertainty_score":0.01224178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374749653317043,"score_gpt":0.2313525030617961,"score_spread":0.2176050065286256,"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."}}