{"id":"W4298576487","doi":"","title":"CIGA+ : un algorithme de calcul d’un ensemble concis de motifs fermés fréquents","year":2006,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science","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":[0.001824139,0.00159461,0.00166254,0.00419162,0.001076192,0.002496553,0.002753385,0.001470327,0.004364516],"category_scores_gemma":[0.007966598,0.0009549441,0.001432426,0.002803481,0.0009216975,0.001929132,0.001648233,0.001743666,0.002263198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073878,"about_ca_system_score_gemma":0.001900277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005201037,"about_ca_topic_score_gemma":0.006703806,"domain_scores_codex":[0.9989076,0.0002197344,0.00007889598,0.0003212186,0.0003757988,0.0000966804],"domain_scores_gemma":[0.9967294,0.001850064,0.0001930965,0.0004300317,0.0006866539,0.0001108408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004529233,0.0001300119,0.004853,0.000337151,0.0001883668,0.0002938603,0.0001908511,0.1436909,0.008103822,0.01484182,0.01083883,0.8160784],"study_design_scores_gemma":[0.00006806383,0.00009129872,0.0008261799,0.00004255684,0.00004314349,0.0003154972,0.00006307706,0.9686683,0.004333772,0.01598898,0.00952954,0.00002962145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006764554,0.0002541096,0.9884398,0.0001065128,0.00006036036,0.0001097056,0.0002437292,0.003316271,0.0007049953],"genre_scores_gemma":[0.04069967,0.0001601898,0.9564648,0.00008406676,0.00005839701,0.0002261305,0.0007299297,0.0002974604,0.00127929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005201037,"threshold_uncertainty_score":0.01460075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08902308170919396,"score_gpt":0.4854345719672589,"score_spread":0.3964114902580649,"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."}}