{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00194092,0.0003526973,0.0004508911,0.00035241,0.0006198711,0.0003017658,0.001183373,0.0002705113,0.000022161],"category_scores_gemma":[0.000104673,0.0003235876,0.0003732923,0.000320418,0.00008833952,0.0007173023,0.0006747044,0.002974169,0.0000943651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354289,"about_ca_system_score_gemma":0.004418047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002170965,"about_ca_topic_score_gemma":0.0001822693,"domain_scores_codex":[0.9960887,0.00008165422,0.0006367301,0.000651097,0.0005526655,0.001989159],"domain_scores_gemma":[0.9982689,0.00006958978,0.0007442739,0.0004525449,0.0003379827,0.0001266945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00179784,0.001823697,0.01384234,0.0009755956,0.01861979,0.00001984188,0.007807729,0.07866794,0.001342994,0.466015,0.01310655,0.3959807],"study_design_scores_gemma":[0.001779878,0.002049764,0.0123911,0.0004244036,0.0005906009,0.001267388,0.0007505003,0.5609741,0.0001845775,0.3870716,0.03080552,0.001710556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09669224,0.001223884,0.8959231,0.002938592,0.001387423,0.0008041778,0.0003587824,0.000470676,0.0002011039],"genre_scores_gemma":[0.7324166,0.0237733,0.1517567,0.0002714058,0.01154063,0.0006879594,0.003903737,0.0004414841,0.07520811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7441664,"threshold_uncertainty_score":0.9999216,"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."}}