{"id":"W2023683113","doi":"10.1016/j.automatica.2008.07.010","title":"Experience-consistent modeling: Regression and classification problems","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Regression; Regression analysis; Computer science; Econometrics; Mathematics; Statistics","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":[0.01111416,0.001473475,0.003621556,0.00152657,0.0007402397,0.003204804,0.004247426,0.004684436,0.003514349],"category_scores_gemma":[0.06039465,0.001161332,0.001941882,0.002962603,0.003073724,0.006862875,0.002138169,0.004591627,0.0005916906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423777,"about_ca_system_score_gemma":0.001239326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005320915,"about_ca_topic_score_gemma":0.003478051,"domain_scores_codex":[0.9950358,0.002715327,0.0002068481,0.001191077,0.000615219,0.0002357021],"domain_scores_gemma":[0.9549206,0.0378389,0.002599019,0.002467842,0.001582013,0.0005917277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000413866,0.0004129704,0.008978889,0.0005220306,0.0004512596,0.0005092175,0.0005209553,0.4561906,0.0006338282,0.3523625,0.008501192,0.1705028],"study_design_scores_gemma":[0.00004132316,0.00005286129,0.0006938215,0.00003956323,0.00004066524,0.0000753509,0.00003702683,0.7694187,0.0001560953,0.2284852,0.0009355263,0.00002392082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02747308,0.002929853,0.9648358,0.002715085,0.0001118759,0.00005387606,0.0002295528,0.0001552618,0.001495561],"genre_scores_gemma":[0.8107225,0.005587082,0.1713877,0.0008582977,0.00143981,0.000485613,0.001162374,0.0001442919,0.008212315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01111416,"threshold_uncertainty_score":0.05877805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07952636708770153,"score_gpt":0.2569148717365534,"score_spread":0.1773885046488519,"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."}}