{"id":"W2952776792","doi":"10.48550/arxiv.1208.0084","title":"Fundamentals of Order Dependencies","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Lexicographical order; Functional dependency; Axiom; Tuple; Dependency theory (database theory); Computer science; Inference; Dependency (UML); Set (abstract data type); Query optimization; Theoretical computer science; Order (exchange); Rule of inference; Mathematics; Data mining; Discrete mathematics; Relational database; Artificial intelligence; Programming language; Combinatorics","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":[0.005011333,0.001310944,0.001043502,0.003436585,0.003139299,0.004769359,0.002524395,0.002451601,0.009605069],"category_scores_gemma":[0.01150713,0.001431817,0.002542246,0.004292168,0.008194344,0.01321594,0.004140951,0.006085365,0.00369243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003007604,"about_ca_system_score_gemma":0.002898157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006258833,"about_ca_topic_score_gemma":0.003521109,"domain_scores_codex":[0.9938584,0.001298913,0.0008097386,0.001396792,0.002116248,0.0005198359],"domain_scores_gemma":[0.989894,0.005880303,0.0005943284,0.001653752,0.001736636,0.0002410672],"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":[0.00001318822,0.00001386571,0.0002068308,0.0001073368,0.00001109685,0.0001008994,0.0002302741,0.001189293,0.0004230445,0.9808345,0.00352193,0.01334761],"study_design_scores_gemma":[0.00001265067,0.00001473621,0.0001406912,0.00005435344,0.00001745797,0.000243906,0.00005070629,0.00297829,0.0007511681,0.9292862,0.06642757,0.00002219372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0109801,0.007693109,0.8806568,0.005863913,0.001304018,0.0002502513,0.002551282,0.001065159,0.08963533],"genre_scores_gemma":[0.305397,0.01688407,0.6292729,0.004772836,0.004076722,0.00106437,0.003911382,0.0009817409,0.03363893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009605069,"threshold_uncertainty_score":0.03213221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08898652615790204,"score_gpt":0.197886085240735,"score_spread":0.108899559082833,"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."}}