{"id":"W2794077441","doi":"10.1080/01605682.2018.1438761","title":"Applications of logic constrained equilibria to traffic networks and to power systems with storage","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Computer science; Operations research; Information system; Scheduling (production processes); Computer data storage; Mathematical optimization; Engineering; Mathematics; Electrical engineering; Operating system","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":[0.002276309,0.001388458,0.0007386031,0.001125373,0.001001803,0.002162668,0.001302172,0.001608984,0.007526066],"category_scores_gemma":[0.01049923,0.0005272058,0.001261664,0.001626123,0.002517047,0.003842688,0.002241939,0.002150573,0.0003839065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002568598,"about_ca_system_score_gemma":0.001352374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004187971,"about_ca_topic_score_gemma":0.003100789,"domain_scores_codex":[0.9985262,0.0008897058,0.00004791757,0.000137974,0.0002026868,0.0001953375],"domain_scores_gemma":[0.9938653,0.004772143,0.0006149274,0.000206699,0.0003412307,0.0001997095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001790057,0.00002533794,0.0002917809,0.00004715084,0.00002125782,0.0001475974,0.00007776061,0.2338731,0.0003042487,0.7602445,0.0005228351,0.004426493],"study_design_scores_gemma":[0.00001568214,0.00002645603,0.0000777661,0.00002484866,0.00001350814,0.00004954346,0.00008239486,0.4344744,0.0002496371,0.5629011,0.002069502,0.00001519722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04521392,0.0009593283,0.9109854,0.001939734,0.0001037887,0.00006688896,0.0001639948,0.00008021587,0.04048681],"genre_scores_gemma":[0.8961295,0.001919272,0.08943725,0.0004275816,0.0002867272,0.0001877104,0.0001495281,0.00009113132,0.01137123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007526066,"threshold_uncertainty_score":0.02517724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878335184551547,"score_gpt":0.3702936247805295,"score_spread":0.3315102729350141,"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."}}