{"id":"W2162526413","doi":"10.1109/icde.1989.47239","title":"Aggregative closure: an extension of transitive closure","year":2003,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Government of Canada","keywords":"Transitive closure; Closure (psychology); Closure operator; Extension (predicate logic); Computer science; Transitive relation; Variety (cybernetics); Theoretical computer science; Operator (biology); Transitive reduction; Algorithm; Algebra over a field; Mathematics; Discrete mathematics; Artificial intelligence; Programming language; Graph; Pure mathematics; Closed set; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005647015,0.001310416,0.001467174,0.003560433,0.001925873,0.007131327,0.001989345,0.001275584,0.005543418],"category_scores_gemma":[0.01172466,0.0007908594,0.003018351,0.004357019,0.005295674,0.01315734,0.005189135,0.003367936,0.001784469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629439,"about_ca_system_score_gemma":0.002080183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241748,"about_ca_topic_score_gemma":0.0009275873,"domain_scores_codex":[0.9929845,0.001699898,0.0008473991,0.001949224,0.002128773,0.0003900728],"domain_scores_gemma":[0.9918393,0.003980358,0.0008135749,0.001937719,0.001067562,0.0003614844],"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":[0.00004089443,0.00003894545,0.0002530569,0.0001803812,0.00003211424,0.0001671198,0.0005265906,0.003861543,0.001640923,0.9262491,0.004521521,0.06248775],"study_design_scores_gemma":[0.00001719283,0.0000683492,0.000178569,0.0001175529,0.00004071676,0.0006684487,0.0001975552,0.03072306,0.00311382,0.8968148,0.06801169,0.00004827356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00360484,0.0007576628,0.9824556,0.0003769219,0.0003199005,0.0001211083,0.0002294123,0.0005235549,0.01161094],"genre_scores_gemma":[0.1364668,0.002161152,0.8487423,0.0006795362,0.001138895,0.0004397735,0.0007642796,0.0006295439,0.008977612],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007131327,"threshold_uncertainty_score":0.02986467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820417521875536,"score_gpt":0.2453310310636236,"score_spread":0.2271268558448683,"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."}}