{"id":"W1641187076","doi":"10.1007/978-3-540-72397-4_26","title":"Generalizations of the Global Cardinality Constraint for Hierarchical Resources","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cardinality (data modeling); Computer science; Constraint (computer-aided design); Theoretical computer science; Algorithm; Mathematics; Data mining; Geometry","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":[0.000732648,0.0002507518,0.0003102615,0.0002231945,0.0002681819,0.0001676244,0.001587212,0.0002147734,0.00001387019],"category_scores_gemma":[0.0001533531,0.00019501,0.0001997437,0.0006018353,0.001358876,0.0001627647,0.000535238,0.0002929796,0.000001266794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530091,"about_ca_system_score_gemma":0.0005627999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000227577,"about_ca_topic_score_gemma":0.0002119009,"domain_scores_codex":[0.9977872,0.00003955628,0.0004852773,0.0007048303,0.0006511209,0.0003319816],"domain_scores_gemma":[0.9981322,0.0003290211,0.0002834992,0.000818811,0.0003370069,0.0000994795],"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":[0.000006165837,0.00001721531,0.001156143,0.00003167157,0.00001566182,0.000003297919,0.0003893261,0.09622564,0.00002229867,0.3702011,0.00001938403,0.5319121],"study_design_scores_gemma":[0.0004677501,0.0001030932,0.004454786,0.0002533288,0.00002301522,0.0001002877,5.394511e-7,0.6737847,0.0005611547,0.3143368,0.005360858,0.0005536361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007575723,0.00009833896,0.9931757,0.0009886312,0.001171968,0.0004698384,0.00004024088,0.00005687188,0.00392262],"genre_scores_gemma":[0.1882339,0.000014954,0.8099236,0.00133715,0.0003028779,0.000008589497,0.000006828718,0.00001482086,0.0001573039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5775591,"threshold_uncertainty_score":0.7952275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660151195105235,"score_gpt":0.2763459400708205,"score_spread":0.2497444281197681,"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."}}