{"id":"W2999658533","doi":"10.3390/info11010044","title":"Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists","year":2020,"lang":"en","type":"article","venue":"Information","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Concatenation (mathematics); Reduction (mathematics); Data mining; Property (philosophy); Extension (predicate logic); Sequence (biology); Pattern search; Algorithm; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002857733,0.00007699344,0.00008730153,0.00003096785,0.0001646318,0.0004327653,0.0004435695,0.00003708609,0.00001734095],"category_scores_gemma":[0.00005447464,0.00007646688,0.00002553454,0.0001646937,0.0000169684,0.001779818,0.0001603278,0.00009184938,0.00005768347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262526,"about_ca_system_score_gemma":0.00006754802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001975717,"about_ca_topic_score_gemma":0.000001599567,"domain_scores_codex":[0.9991473,0.00001805635,0.0002944139,0.0001460383,0.0001940217,0.0002001445],"domain_scores_gemma":[0.9994165,0.00005084008,0.00008347749,0.0002440651,0.00009557369,0.0001094879],"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":[0.00002379822,0.00004069148,0.0003174527,0.0002142438,0.00003066514,0.000001030831,0.01522541,0.0004576645,0.001134077,0.0765001,0.02074151,0.8853134],"study_design_scores_gemma":[0.0003248815,0.00006628091,0.0005778692,0.00001981192,0.000004653502,0.000002538884,0.0001755354,0.9828014,0.005911025,0.0003143576,0.009666871,0.000134803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04487434,0.000001767578,0.9500871,0.004019024,0.00007339843,0.0002418508,0.0002885595,0.0001297389,0.0002841711],"genre_scores_gemma":[0.9232316,0.000001884117,0.07506394,0.0009342242,0.00006071419,0.00004972072,0.0006463121,0.000003634395,0.000007959861],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9823437,"threshold_uncertainty_score":0.4173165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412551946843493,"score_gpt":0.2740331073629022,"score_spread":0.2499075878944672,"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."}}