{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001755917,0.0001121115,0.0001718388,0.0001074149,0.0002120676,0.00009344869,0.001866473,0.00005084876,0.00005357625],"category_scores_gemma":[0.000006035165,0.0001390409,0.00003924234,0.0003017361,0.00005000041,0.001294248,0.001003362,0.00008699195,0.0003336846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003392635,"about_ca_system_score_gemma":0.00006783222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004119753,"about_ca_topic_score_gemma":0.002175512,"domain_scores_codex":[0.9990083,0.0000361192,0.00007025811,0.0004499066,0.0002361043,0.0001993062],"domain_scores_gemma":[0.9984164,0.00006007296,0.0001181438,0.001290986,0.00004662259,0.00006779361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008259409,0.0006617392,0.7110944,0.0003621156,0.0003732703,0.000396601,0.003580543,0.000279453,0.01684784,0.005722602,0.08327436,0.1773244],"study_design_scores_gemma":[0.0008373808,0.0001199763,0.271009,0.0001058022,0.0000323819,0.00001504495,0.001920978,0.6931868,0.0002508205,0.00002568526,0.03213319,0.0003628845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7593915,0.0000251901,0.2359933,0.00302827,0.0001389997,0.0001847397,0.0001694527,0.0001691987,0.0008993584],"genre_scores_gemma":[0.7945042,0.00001021865,0.2038014,0.0001763602,0.00004365033,4.27845e-7,0.0002784307,0.00001835599,0.001166994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6929074,"threshold_uncertainty_score":0.5669923,"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."}}