{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002841126,0.0008171666,0.001275432,0.001810606,0.0008642536,0.001835777,0.002440345,0.0008470886,0.002749936],"category_scores_gemma":[0.01893881,0.0007178847,0.001181994,0.002152416,0.0007583054,0.004471164,0.001859289,0.001391102,0.001263873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000570717,"about_ca_system_score_gemma":0.002476485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135197,"about_ca_topic_score_gemma":0.00330032,"domain_scores_codex":[0.997183,0.0006268384,0.0001977028,0.0003762078,0.001380961,0.0002353993],"domain_scores_gemma":[0.987543,0.007425919,0.001014121,0.002227776,0.001525959,0.00026334],"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":[0.001207389,0.0005340993,0.01329676,0.0005631145,0.0001531971,0.001019121,0.0008144982,0.1190833,0.04840497,0.04411391,0.007126446,0.7636832],"study_design_scores_gemma":[0.00007190919,0.000593758,0.001826979,0.00008138562,0.00009520608,0.0007143398,0.0002748245,0.926644,0.02674662,0.03454645,0.008360384,0.00004412681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07787043,0.0003856419,0.9172003,0.0003777734,0.00004035159,0.0002321591,0.0003061818,0.001704888,0.001882411],"genre_scores_gemma":[0.308632,0.0003566861,0.6859761,0.000163684,0.00006635487,0.0002726585,0.001263066,0.0002127452,0.003056653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002841126,"threshold_uncertainty_score":0.0150255,"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."}}