{"id":"W4386576324","doi":"10.2139/ssrn.4566634","title":"Convolutional Time Series for Key Performance Indicator Online &amp; Proactive Prediction","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Key (lock); Series (stratigraphy); Computer science; Time series; Econometrics; Data mining; Machine learning; Mathematics; Computer security","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":[0.0006293365,0.0006228075,0.0003357698,0.0006135572,0.0002284076,0.0006048431,0.0006559382,0.0006888381,0.003483886],"category_scores_gemma":[0.002215031,0.0001966231,0.0003204238,0.0007111037,0.0001969439,0.0007294675,0.0004608435,0.0009806092,0.001045142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007699431,"about_ca_system_score_gemma":0.0006887482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113524,"about_ca_topic_score_gemma":0.008728089,"domain_scores_codex":[0.9998556,0.00002082736,0.00000779028,0.00004326,0.00003562936,0.00003684276],"domain_scores_gemma":[0.9994721,0.0002282403,0.00005827467,0.00009154245,0.0001176552,0.00003225552],"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":[0.0003204161,0.0001921225,0.006036365,0.0001128996,0.00009215381,0.0001367072,0.0000491048,0.4528812,0.01504595,0.02585767,0.009353188,0.4899222],"study_design_scores_gemma":[0.000001146628,0.000007978348,0.0007363788,0.000004283244,0.000007358751,0.000008230202,0.000002294267,0.9952011,0.001555769,0.00204878,0.0004235305,0.000003120854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1782368,0.001688514,0.8062277,0.001121544,0.0003497904,0.00004596704,0.00207631,0.00227117,0.007982266],"genre_scores_gemma":[0.9531957,0.0005049222,0.0358618,0.00008413252,0.00009430585,0.00002801906,0.001251867,0.00006987854,0.00890934],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01113524,"threshold_uncertainty_score":0.02214086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130242841129169,"score_gpt":0.2417067331579758,"score_spread":0.2204043047466841,"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."}}