{"id":"W2121550967","doi":"10.1007/s10619-006-0445-0","title":"Parallel Bifold: Large-scale parallel pattern mining with constraints","year":2006,"lang":"en","type":"article","venue":"Distributed and Parallel Databases","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Data mining; Set (abstract data type); Scale (ratio); Cluster (spacecraft); Space (punctuation); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002124515,0.0003399021,0.0003297501,0.00008127122,0.0004574084,0.0003210173,0.0006744595,0.00006338258,0.00005226793],"category_scores_gemma":[0.00001673809,0.0002832781,0.00005562249,0.0004035862,0.0002300224,0.0007102828,0.0003581071,0.0001662221,0.00004780817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179445,"about_ca_system_score_gemma":0.00007455934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003776579,"about_ca_topic_score_gemma":0.000383153,"domain_scores_codex":[0.9977764,0.00005461563,0.0003816126,0.0008266956,0.0003120087,0.0006486381],"domain_scores_gemma":[0.998469,0.0001540354,0.0001708965,0.000911841,0.00008353042,0.0002107055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001816053,0.003494596,0.2849434,0.0003116361,0.000448111,0.0008907637,0.001423338,0.004453674,0.0003335046,0.2121506,0.2947074,0.1966613],"study_design_scores_gemma":[0.009351198,0.0004542967,0.2149667,0.00051517,0.0001980861,0.0007386513,0.001932924,0.312132,0.0001953684,0.001608657,0.4546956,0.00321141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01616712,0.0004128234,0.9727748,0.0007705698,0.00006015442,0.0002477533,0.008802668,0.0002628821,0.0005011994],"genre_scores_gemma":[0.4184506,0.0001681683,0.5576675,0.0006024899,0.0002136932,0.0002227195,0.02238286,0.00003814906,0.0002538126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4151073,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781232993566086,"score_gpt":0.2489065911592234,"score_spread":0.2310942612235625,"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."}}