{"id":"W2997829892","doi":"","title":"Sliding window based weighted periodic pattern mining over time series data","year":2019,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sliding window protocol; Series (stratigraphy); Computer science; Time series; Window (computing); Data mining; Algorithm; Geology; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001428784,0.0006290847,0.001049147,0.003563359,0.0005927464,0.0007467962,0.001048184,0.0005199914,0.001048243],"category_scores_gemma":[0.005330259,0.0003031424,0.0008544709,0.004009907,0.0002861567,0.001506582,0.0006570491,0.0004931138,0.0004581279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906822,"about_ca_system_score_gemma":0.0006205557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831215,"about_ca_topic_score_gemma":0.002654131,"domain_scores_codex":[0.9988675,0.0001659723,0.0002231044,0.0003624393,0.0002859155,0.0000950857],"domain_scores_gemma":[0.997781,0.000923299,0.0004070932,0.000346158,0.0004364791,0.000105914],"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":[0.0008097573,0.0003453882,0.03461466,0.0004907601,0.0004766382,0.001342837,0.0005581587,0.05259755,0.03507836,0.004291913,0.003681063,0.8657131],"study_design_scores_gemma":[0.00005441359,0.0004187283,0.01028944,0.00004479331,0.0001970092,0.001039723,0.0002224895,0.9603533,0.01593333,0.007300465,0.004105286,0.00004101232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2163366,0.00116291,0.7783291,0.0001670624,0.0001086967,0.0002384082,0.0009150596,0.001822298,0.0009198877],"genre_scores_gemma":[0.6097124,0.0006256608,0.3863319,0.00005490145,0.00008147756,0.0002063324,0.001886433,0.00009929449,0.001001542],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003563359,"threshold_uncertainty_score":0.0075562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766783794692491,"score_gpt":0.2022408658512875,"score_spread":0.1845730279043626,"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."}}