{"id":"W1998868978","doi":"10.1109/tpwrs.2011.2166411","title":"Criticality Assessment of Distribution Feeder Sections","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Criticality; Reliability engineering; Ranking (information retrieval); Probabilistic logic; Section (typography); Reliability (semiconductor); Distribution (mathematics); Asset (computer security); Investment (military); Failure mode, effects, and criticality analysis; Asset management; Computer science; Engineering; Operations research; Mathematics; Economics; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002951646,0.0001689295,0.0002759197,0.00007085213,0.0000919086,0.00001920208,0.000127377,0.0001334911,0.0001035663],"category_scores_gemma":[0.000004686933,0.000162723,0.0001457882,0.0002245808,0.0000749516,0.0001522462,6.874463e-7,0.0002300858,0.00003648899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928457,"about_ca_system_score_gemma":0.00003129361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002394287,"about_ca_topic_score_gemma":0.00003161312,"domain_scores_codex":[0.9987644,0.00008150387,0.0004728823,0.000202544,0.0002205164,0.0002581413],"domain_scores_gemma":[0.9992318,0.00005891831,0.00004038111,0.0004277943,0.0001336263,0.0001075172],"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":[0.0004511937,0.01217074,0.002939206,0.01254758,0.004510798,0.0001133556,0.01545499,0.7056472,0.04378,0.1684695,0.0314492,0.002466226],"study_design_scores_gemma":[0.007386431,0.00411483,0.07579664,0.004722155,0.001296655,0.0007944737,0.01145777,0.4507955,0.3267755,0.001711772,0.1087168,0.006431549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01444294,0.00005995248,0.9637531,0.00001493749,0.00517093,0.0003260442,0.0003266828,0.000314678,0.0155907],"genre_scores_gemma":[0.9994864,0.00001435285,0.0001522848,0.000007281828,0.000008619854,0.0001175131,0.000004269054,0.00002212578,0.0001871942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9850434,"threshold_uncertainty_score":0.663565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993231167694326,"score_gpt":0.2366728438418001,"score_spread":0.2167405321648569,"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."}}