{"id":"W2096528909","doi":"10.1109/tpwrs.2006.876644","title":"Major Event Day Segmentation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Event (particle physics); Electric power system; Segmentation; Index (typography); Range (aeronautics); Electric utility; Reliability engineering; Data mining; Power (physics); Engineering; Artificial intelligence; Electrical engineering","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":[0.0007698187,0.0005783662,0.000729511,0.002813362,0.0007992556,0.0020218,0.000857978,0.0005679677,0.008621292],"category_scores_gemma":[0.001926564,0.0002150269,0.0007888799,0.002523101,0.0003045842,0.0008738129,0.001083723,0.0009063558,0.003724411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143429,"about_ca_system_score_gemma":0.0008595761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004036379,"about_ca_topic_score_gemma":0.004642082,"domain_scores_codex":[0.9992971,0.00006905379,0.00006458988,0.0002096342,0.0002108965,0.000148776],"domain_scores_gemma":[0.9986832,0.0003116642,0.000157654,0.0001905228,0.0005207753,0.0001362746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001482001,0.0003149276,0.04250856,0.0006702483,0.0001556796,0.0006216253,0.001113504,0.03153369,0.02388339,0.04508102,0.07875208,0.7738832],"study_design_scores_gemma":[0.0001358246,0.0006341366,0.157036,0.0002168947,0.000172066,0.002528828,0.001470995,0.3660642,0.04118557,0.05450372,0.3757775,0.0002741459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409325,0.00226207,0.7747325,0.000629786,0.001020816,0.0009315626,0.01051818,0.005683967,0.0632885],"genre_scores_gemma":[0.6747296,0.001045657,0.2764053,0.0002551957,0.0006871648,0.0003802793,0.01948747,0.0009444531,0.02606486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008621292,"threshold_uncertainty_score":0.02884114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005124689124077807,"score_gpt":0.1986637364620699,"score_spread":0.1935390473379921,"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."}}