{"id":"W4399058518","doi":"10.1007/978-3-031-60597-0_3","title":"Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Computer science; Scheduling (production processes); Mathematical optimization; Linear programming; Distributed computing; Operations research; Algorithm; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000777391,0.000503862,0.0005479431,0.0003550072,0.0001167602,0.0001597687,0.0007737246,0.0003569701,0.00001541172],"category_scores_gemma":[0.00003707027,0.0004406075,0.0001962316,0.0002440258,0.0006141483,0.0001943995,0.0001374353,0.0007086296,0.00003784496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518572,"about_ca_system_score_gemma":0.0002112338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003099321,"about_ca_topic_score_gemma":0.00001197937,"domain_scores_codex":[0.9973654,0.000005176623,0.000565997,0.0009575078,0.0003765973,0.000729317],"domain_scores_gemma":[0.9989026,0.0002344855,0.00007186653,0.0004893872,0.0001465478,0.0001550789],"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":[0.0000151707,0.00001125757,0.000002841867,0.002696754,0.00003575745,0.00006157075,0.0009370213,0.60743,0.001996324,0.006175209,0.00004713456,0.3805909],"study_design_scores_gemma":[0.0002680687,0.00007061959,0.000001568046,0.006135714,0.00001674616,0.00006011561,5.836836e-7,0.9267366,0.002216388,0.05351209,0.01042411,0.0005574212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006022063,0.0009658494,0.9889223,0.0002312873,0.002286195,0.0009560694,0.00002567149,0.000327895,0.006224497],"genre_scores_gemma":[0.3947989,0.0001661778,0.6025348,0.0002700251,0.0007700039,0.00008411908,0.00001090276,0.0001674778,0.00119755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3947387,"threshold_uncertainty_score":0.9998046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169279283889527,"score_gpt":0.2319865016949662,"score_spread":0.220293708856071,"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."}}