{"id":"W4323345132","doi":"10.2298/fil2210331q","title":"Rough set analysis of graphs","year":2022,"lang":"en","type":"article","venue":"Filomat","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Rough set; Mathematics; Binary relation; Axiom; Vertex (graph theory); Indifference graph; Theoretical computer science; Discrete mathematics; Graph; Computer science; Data mining","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":[0.002105291,0.0005877499,0.0007486587,0.00353539,0.0007499205,0.002420248,0.0008712283,0.0006216034,0.001751609],"category_scores_gemma":[0.007923692,0.0002918833,0.001780917,0.002090859,0.00205042,0.002517773,0.001077298,0.001257407,0.0002671767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731277,"about_ca_system_score_gemma":0.0007575362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003084433,"about_ca_topic_score_gemma":0.00164278,"domain_scores_codex":[0.9981179,0.0007520244,0.0001160087,0.00031096,0.000581843,0.0001213038],"domain_scores_gemma":[0.9957848,0.00263911,0.0004584199,0.0003959615,0.0006235447,0.00009809992],"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":[0.00002480222,0.00001125228,0.0004895276,0.0001178149,0.0000564914,0.0001089619,0.0002632023,0.1464177,0.001290013,0.8227671,0.001179683,0.02727342],"study_design_scores_gemma":[0.000006239168,0.00001609318,0.0003249756,0.00002733566,0.00002187512,0.00005393705,0.00008764856,0.2536642,0.0006217176,0.7409582,0.004202341,0.00001546646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01381599,0.0006231728,0.9800647,0.0003665079,0.0000454186,0.00004197354,0.0001865646,0.0001119966,0.004743581],"genre_scores_gemma":[0.5255247,0.002367518,0.4663585,0.0002266086,0.000155236,0.0002074737,0.0007220242,0.00008787596,0.004350055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00353539,"threshold_uncertainty_score":0.01256132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233332343295507,"score_gpt":0.2446031101501367,"score_spread":0.2222697867171816,"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."}}