{"id":"W4409287419","doi":"10.5220/0013296100003929","title":"Towards the Automated Selection of ML Models for Time-Series Data Forecasting","year":2025,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Series (stratigraphy); Time series; Computer science; Selection (genetic algorithm); Model selection; Data modeling; Data mining; Artificial intelligence; Machine learning","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":[0.003760784,0.001314038,0.001820272,0.002323655,0.0008171183,0.003181948,0.002195509,0.001591577,0.004074419],"category_scores_gemma":[0.02553284,0.001206381,0.001583996,0.00141475,0.0006397857,0.002151341,0.002446526,0.00313762,0.003244527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000644859,"about_ca_system_score_gemma":0.001964101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004312464,"about_ca_topic_score_gemma":0.005556087,"domain_scores_codex":[0.997054,0.001603812,0.0001901903,0.0003621468,0.0005766898,0.0002131704],"domain_scores_gemma":[0.9863726,0.009660825,0.000610568,0.001435727,0.001654902,0.0002653458],"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":[0.0004688593,0.0002788876,0.00450185,0.000223469,0.0002804815,0.0002105624,0.0002335871,0.3295451,0.0101863,0.01308191,0.007662924,0.6333261],"study_design_scores_gemma":[0.00001992705,0.00002233492,0.0003416545,0.00001275795,0.0000178747,0.00002915132,0.00002300199,0.9885635,0.001911748,0.007980392,0.001067888,0.00000975797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009227694,0.0002536366,0.9865095,0.0002196049,0.00002867321,0.00002964909,0.0001679154,0.002967436,0.0005958582],"genre_scores_gemma":[0.3328911,0.0003306658,0.6609104,0.0002595026,0.0002110106,0.0001830664,0.001941064,0.001048242,0.002224969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004312464,"threshold_uncertainty_score":0.01988918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06114280121171638,"score_gpt":0.2745882533991096,"score_spread":0.2134454521873932,"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."}}