{"id":"W2126039691","doi":"","title":"Canadian experience in the collection of transmission and distribution component unavailability data","year":2004,"lang":"en","type":"article","venue":"IEEE International Conference on Probabilistic Methods Applied to Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unavailability; Component (thermodynamics); Reliability (semiconductor); Data collection; Computer science; Reliability engineering; Transmission (telecommunications); Electric power system; Operations research; Telecommunications; Power (physics); Engineering; Statistics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.02228707,0.000724007,0.0007932202,0.01248979,0.007612729,0.007370676,0.00367029,0.0007709772,0.006286427],"category_scores_gemma":[0.05301463,0.0008521805,0.0007407692,0.0449354,0.002672847,0.003527186,0.003997688,0.001642982,0.001250952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08500119,"about_ca_system_score_gemma":0.1995679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912327,"about_ca_topic_score_gemma":0.9899776,"domain_scores_codex":[0.9688864,0.003905779,0.003124069,0.002514762,0.01938971,0.002179262],"domain_scores_gemma":[0.8769256,0.01104469,0.003415489,0.006049865,0.09769963,0.00486477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004435251,0.0002411406,0.1071926,0.002984608,0.0002062593,0.001367354,0.02656114,0.005587757,0.003845619,0.05621205,0.1550561,0.6403018],"study_design_scores_gemma":[0.00004300075,0.00009822386,0.1620169,0.001134311,0.0001286816,0.0007019074,0.009515732,0.002380756,0.002852747,0.002223251,0.8186557,0.0002487068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2602859,0.05506841,0.1076457,0.09373926,0.002432204,0.004284063,0.07309043,0.002688292,0.4007657],"genre_scores_gemma":[0.6200417,0.08281295,0.1453024,0.007860795,0.0006516763,0.001253578,0.04956489,0.001068498,0.0914434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08500119,"threshold_uncertainty_score":0.6167297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08599252939998,"score_gpt":0.3439028319488791,"score_spread":0.257910302548899,"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."}}