{"id":"W2128780455","doi":"10.1109/sitis.2008.31","title":"Core Labeling: A New Way to Compress Transitive Closure","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Reachability; Transitive closure; Combinatorics; Graph; Bounded function; Tree (set theory); Computer science; Mathematics; Discrete mathematics","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":[0.001469295,0.001577509,0.00151715,0.004439407,0.001163005,0.002476308,0.00238234,0.001068275,0.005446335],"category_scores_gemma":[0.0105841,0.0008591654,0.001798364,0.005186978,0.001112327,0.01031092,0.003581904,0.002067756,0.00174796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897207,"about_ca_system_score_gemma":0.003225635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005712401,"about_ca_topic_score_gemma":0.007376024,"domain_scores_codex":[0.9965208,0.0004203273,0.0004476685,0.0007903881,0.001495979,0.0003249503],"domain_scores_gemma":[0.9913442,0.002367498,0.0007316596,0.004195075,0.001069416,0.0002921986],"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":[0.001826404,0.0005096269,0.003892928,0.001001936,0.0001650501,0.0005280706,0.001083937,0.05599423,0.0570823,0.07261453,0.04357084,0.7617301],"study_design_scores_gemma":[0.0003155931,0.0006889708,0.001522501,0.0002171587,0.0001841861,0.0009659402,0.0005937261,0.692615,0.0743821,0.1541261,0.07421862,0.0001701573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05224166,0.001198001,0.9027521,0.001034363,0.0002696726,0.0007797367,0.007655458,0.02858485,0.005484182],"genre_scores_gemma":[0.2134435,0.0007417916,0.7626705,0.0005606692,0.0001737318,0.0007789664,0.01571723,0.002103774,0.003809773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005712401,"threshold_uncertainty_score":0.01821983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09017840366944073,"score_gpt":0.2748155200405532,"score_spread":0.1846371163711124,"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."}}