{"id":"W2322744709","doi":"10.1021/ie302408b","title":"Development of a Model Selection Criterion for Accurate Model Predictions at Desired Operating Conditions","year":2012,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overfitting; Variance (accounting); Model selection; Monte Carlo method; Computer science; Nonlinear system; Computation; Selection (genetic algorithm); Mean squared error; Estimation theory; Linear model; Mathematical optimization; Algorithm; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00582105,0.002078627,0.002111346,0.001632982,0.0007797293,0.001207004,0.001455857,0.001508754,0.001513234],"category_scores_gemma":[0.01411166,0.0007186658,0.00123856,0.001104462,0.0007623695,0.001159621,0.001541933,0.001959505,0.0007863359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009651626,"about_ca_system_score_gemma":0.003246723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00471733,"about_ca_topic_score_gemma":0.0036776,"domain_scores_codex":[0.9977532,0.0009478305,0.0001722308,0.0002892832,0.0007033441,0.0001342104],"domain_scores_gemma":[0.992364,0.004458786,0.0005951599,0.0002436211,0.002213171,0.0001252397],"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":[0.00006003233,0.00009534074,0.001135458,0.0001799695,0.00007492799,0.0001405971,0.00006358734,0.9119516,0.006368721,0.006384599,0.002047411,0.07149777],"study_design_scores_gemma":[0.000006195231,0.00003496778,0.0001411465,0.00001110354,0.000009266449,0.0000168489,0.000005105583,0.9966801,0.001244726,0.001479166,0.0003623138,0.00000900308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002850337,0.00006523064,0.9962417,0.0000846184,0.00001038991,0.0000796222,0.0000451327,0.0002820737,0.0003409547],"genre_scores_gemma":[0.2672092,0.0002976713,0.7282031,0.0002444958,0.0001056855,0.001387242,0.0008110902,0.0003416756,0.001399786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00582105,"threshold_uncertainty_score":0.03078502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2731259629743426,"score_gpt":0.4157107935098835,"score_spread":0.1425848305355409,"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."}}