{"id":"W1589049529","doi":"10.1002/mats.201200085","title":"Design of Experiments for Reactivity Ratio Estimation in Multicomponent Polymerizations Using the Error‐<scp>I</scp>n‐<scp>V</scp>ariables Approach","year":2013,"lang":"en","type":"article","venue":"Macromolecular Theory and Simulations","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Design of experiments; Reactivity (psychology); Computer science; Nonlinear system; Nonlinear regression; Mathematics; Regression analysis; Statistics; Physics","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":[0.01953882,0.001097591,0.001699093,0.0008958516,0.0004540966,0.001008014,0.001162335,0.001193976,0.001094712],"category_scores_gemma":[0.02251077,0.0009511884,0.001434498,0.0006462649,0.001135817,0.0008997168,0.0009807321,0.001827897,0.0001932327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059037,"about_ca_system_score_gemma":0.002279999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004969829,"about_ca_topic_score_gemma":0.0009149079,"domain_scores_codex":[0.9874534,0.009299915,0.0004166003,0.0009551285,0.001624707,0.0002502839],"domain_scores_gemma":[0.9854352,0.01237944,0.001092427,0.0005112909,0.0004694384,0.0001122044],"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":[0.001545344,0.001165654,0.001683519,0.001505546,0.0003843268,0.00007286786,0.0002318593,0.69118,0.07440794,0.05619885,0.0003897344,0.1712344],"study_design_scores_gemma":[0.0001860069,0.002787254,0.0007154323,0.00004786091,0.0001018871,0.00002830369,0.00002561641,0.9286154,0.04976746,0.01553736,0.002133532,0.00005396322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0121537,0.0002276482,0.9868395,0.00005260082,0.00002150739,0.0002945099,0.00002350662,0.00008371842,0.0003033389],"genre_scores_gemma":[0.1737105,0.0005362465,0.823348,0.00006428539,0.00002152519,0.001754535,0.0000601099,0.00003687237,0.0004680454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01953882,"threshold_uncertainty_score":0.1033324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219307803200529,"score_gpt":0.399763141765593,"score_spread":0.2778323614455401,"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."}}