{"id":"W2487140311","doi":"10.1007/11564751","title":"Principles and Practice of Constraint Programming - CP 2005","year":2005,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":229,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; Constraint programming; Constraint (computer-aided design); Theoretical computer science; Mathematical optimization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002355418,0.001450399,0.001153672,0.001865848,0.001344271,0.007580688,0.003266619,0.001861734,0.02397288],"category_scores_gemma":[0.005034776,0.001778441,0.001124396,0.005244162,0.003536604,0.006054683,0.002063084,0.005297845,0.009759786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00287236,"about_ca_system_score_gemma":0.005090616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00971054,"about_ca_topic_score_gemma":0.009707345,"domain_scores_codex":[0.9983969,0.0003477341,0.0001394367,0.0002372055,0.0007994874,0.00007914813],"domain_scores_gemma":[0.9981832,0.0007262576,0.00009355017,0.0004096412,0.0004964526,0.00009096719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001770548,0.0000371754,0.00009903866,0.0004729054,0.00003223608,0.00007194861,0.0002105326,0.006618282,0.0004542338,0.7182379,0.09270392,0.1810442],"study_design_scores_gemma":[0.00001594538,0.00001082732,0.000177126,0.0005101192,0.00001835511,0.0002566812,0.00009852606,0.01335783,0.0008055228,0.5342118,0.450505,0.00003221206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009481729,0.0280393,0.7184342,0.007632569,0.001596566,0.0003122498,0.00100432,0.00142977,0.2406028],"genre_scores_gemma":[0.02694993,0.03995971,0.8290824,0.001437134,0.001032679,0.0007005724,0.001692214,0.0009081175,0.09823714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02397288,"threshold_uncertainty_score":0.08019722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07116710252241898,"score_gpt":0.3758355662980198,"score_spread":0.3046684637756008,"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."}}