{"id":"W1523797563","doi":"10.1007/978-3-642-12200-2_30","title":"On Quadratic Threshold CSPs","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Constraint satisfaction problem; Mathematics; Predicate (mathematical logic); Quadratic equation; Combinatorics; Discrete mathematics; Computer science","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":[0.0008587136,0.0007690617,0.001119251,0.00134019,0.001672191,0.003248678,0.001508911,0.001113953,0.03037914],"category_scores_gemma":[0.005048187,0.0006485645,0.001064209,0.004063284,0.002199592,0.008245447,0.004096908,0.005942779,0.003750764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237018,"about_ca_system_score_gemma":0.001057148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781352,"about_ca_topic_score_gemma":0.002173147,"domain_scores_codex":[0.9987184,0.0002206885,0.00008911173,0.0002435553,0.0004969348,0.00023144],"domain_scores_gemma":[0.9977715,0.001148463,0.0001360599,0.0003892175,0.0003193465,0.0002354006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003722814,0.00002844595,0.00007083543,0.00008312892,0.000005082899,0.00002790387,0.0001103215,0.002322298,0.0006858875,0.9722391,0.006690157,0.0176996],"study_design_scores_gemma":[0.00001144408,0.000008359091,0.00007397214,0.00001505419,0.000004492659,0.00004503614,0.00002835411,0.01000079,0.0002699054,0.9829624,0.006574032,0.000006272754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07999631,0.002055349,0.5355227,0.006312689,0.0007579711,0.0002474551,0.001346081,0.001472826,0.3722887],"genre_scores_gemma":[0.7023734,0.002406519,0.1084628,0.001882746,0.001066003,0.000402373,0.002478606,0.001187656,0.1797399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03037914,"threshold_uncertainty_score":0.1016284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164728414739782,"score_gpt":0.2845340451051905,"score_spread":0.2628867609577927,"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."}}