{"id":"W2107415975","doi":"10.1007/11527503_10","title":"Finding All Frequent Patterns Starting from the Closure","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Closure (psychology)","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":[0.0008974492,0.001153787,0.00168975,0.004047411,0.001235785,0.002001568,0.001410827,0.001069709,0.005697624],"category_scores_gemma":[0.008600613,0.0006974709,0.002170346,0.002528362,0.0006582324,0.003987886,0.001091441,0.001656809,0.002543055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147787,"about_ca_system_score_gemma":0.001494511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005628295,"about_ca_topic_score_gemma":0.0007850695,"domain_scores_codex":[0.9988475,0.00008964408,0.0001621487,0.000424637,0.0003405809,0.0001355359],"domain_scores_gemma":[0.9952578,0.00222484,0.0005163968,0.0006115471,0.001050048,0.0003394197],"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":[0.002588965,0.001197761,0.03784191,0.002653033,0.0004364085,0.007099737,0.001398395,0.005075235,0.07171237,0.04113267,0.02127447,0.807589],"study_design_scores_gemma":[0.000842428,0.003636155,0.03461555,0.001651238,0.001221784,0.02242158,0.00402754,0.2063213,0.09967477,0.540813,0.08448178,0.0002929806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4092728,0.002479027,0.5612596,0.00131974,0.0005941725,0.001185592,0.01181813,0.003054495,0.009016464],"genre_scores_gemma":[0.4131984,0.00107964,0.5555344,0.0002330719,0.0003638321,0.0005522847,0.02285451,0.0004464105,0.005737546],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005697624,"threshold_uncertainty_score":0.01906049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121217633004313,"score_gpt":0.2666668067261532,"score_spread":0.23545463039611,"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."}}