{"id":"W2168268282","doi":"10.2201/niipi.2012.9.5","title":"Implementation issues of clique enumeration algorithm","year":2012,"lang":"en","type":"article","venue":"Progress in Informatics","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Enumeration; Computer science; Clique problem; Implementation; Clique; Cluster analysis; Clique percolation method; Clique graph; Graph; Theoretical computer science; Algorithm; Mathematics; Combinatorics; Chordal graph; Artificial intelligence; Programming language; Line graph","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002982259,0.0006659967,0.0008591982,0.001019943,0.001717588,0.003741501,0.003394718,0.001647724,0.01319071],"category_scores_gemma":[0.01623205,0.0006675056,0.0008707257,0.003023043,0.0008442694,0.005898991,0.002060539,0.00211495,0.004537854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586084,"about_ca_system_score_gemma":0.003991643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003567662,"about_ca_topic_score_gemma":0.004778997,"domain_scores_codex":[0.9953688,0.001864627,0.0002886959,0.0005708265,0.001311864,0.0005951919],"domain_scores_gemma":[0.9921417,0.003296909,0.0002049777,0.002415222,0.001733031,0.0002080801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007013155,0.0004286459,0.002498171,0.0004346908,0.0001238692,0.0002479783,0.0006086602,0.07110402,0.01225245,0.2573418,0.04837372,0.6058847],"study_design_scores_gemma":[0.0002334475,0.0001203246,0.0006128614,0.0001016545,0.00005198443,0.0003719228,0.0003534948,0.7177801,0.01715885,0.2086053,0.05452852,0.00008148831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01382303,0.000291777,0.966701,0.00144002,0.0001831286,0.0002466051,0.0002661404,0.004406997,0.01264131],"genre_scores_gemma":[0.1653651,0.0003411708,0.8246034,0.0004645304,0.0001013142,0.0005133419,0.00109084,0.0007674849,0.006752888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01319071,"threshold_uncertainty_score":0.04412735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175125442485806,"score_gpt":0.3330652699504325,"score_spread":0.3155527257018518,"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."}}