{"id":"W1621911526","doi":"","title":"Algorithmic aspects of counting independent sets","year":2002,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006670997,0.001371387,0.002439781,0.006507373,0.003919633,0.01142866,0.006049804,0.003109292,0.01075537],"category_scores_gemma":[0.03170343,0.001774302,0.002710309,0.01007931,0.007397225,0.01851938,0.00588147,0.007115268,0.001268444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003515467,"about_ca_system_score_gemma":0.001662514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719861,"about_ca_topic_score_gemma":0.002003262,"domain_scores_codex":[0.9945058,0.001854044,0.0003871055,0.001004563,0.00177868,0.0004697535],"domain_scores_gemma":[0.9755643,0.01754803,0.001486764,0.002884161,0.001670659,0.0008461274],"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":[0.00001198515,0.00001083537,0.0001768626,0.00002402607,0.000008353208,0.00001805267,0.00006386149,0.001180186,0.00006629604,0.9943498,0.0006747946,0.003415138],"study_design_scores_gemma":[0.000005064942,0.000002357475,0.00007435819,0.000007893222,0.000009088162,0.00002969315,0.00001945038,0.006741906,0.00007372157,0.9920372,0.0009921027,0.000007267965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1056997,0.002894401,0.7895798,0.006118901,0.0004871915,0.0001395112,0.0006932254,0.0005234115,0.09386382],"genre_scores_gemma":[0.6782523,0.002593611,0.2798755,0.001184574,0.001830878,0.0005456865,0.00133616,0.0003777316,0.03400363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01142866,"threshold_uncertainty_score":0.03598028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732168150100458,"score_gpt":0.2255222481867079,"score_spread":0.2082005666857033,"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."}}