{"id":"W2912055746","doi":"","title":"Proceedings of the Third international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems","year":2006,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Constraint programming; Computer science; Constraint (computer-aided design); Mathematical optimization; Operations research; Mathematics; Stochastic programming","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":[0.0002050443,0.00007248947,0.0001004811,0.00009683557,0.00003135047,0.00007248919,0.000166057,0.00005474452,0.000008737579],"category_scores_gemma":[0.00006002786,0.00004862203,0.00002414219,0.0002121958,0.00009337417,0.0003044238,0.00003972465,0.00006836777,3.624838e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003062332,"about_ca_system_score_gemma":0.0000660747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004661129,"about_ca_topic_score_gemma":0.00005665019,"domain_scores_codex":[0.999317,0.000009075789,0.0002982169,0.0001541074,0.000150997,0.00007053652],"domain_scores_gemma":[0.999346,0.00003283274,0.0001821792,0.00005688127,0.000370809,0.00001127223],"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":[0.00002850285,0.00008284888,0.001985007,0.00002528339,0.000003433029,3.594662e-8,0.0001903935,0.001281617,0.002801916,0.9604096,0.00005730661,0.03313406],"study_design_scores_gemma":[0.001082983,0.000316421,0.002023029,0.0002788159,0.000005745314,0.000007607693,0.0002219019,0.9156226,0.05949081,0.02066535,0.0001394151,0.0001453356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004313318,0.000001443733,0.9879336,0.001529606,0.0001922222,0.0009397619,0.000003345387,0.00005865332,0.005028064],"genre_scores_gemma":[0.819728,0.000005435099,0.1801152,0.00003291438,0.00001373815,0.00005172693,0.000003659602,0.000002715098,0.00004671336],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9397442,"threshold_uncertainty_score":0.1982749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873547709619573,"score_gpt":0.2621410508245272,"score_spread":0.2434055737283314,"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."}}