{"id":"W4319832242","doi":"10.1002/mren.202200067","title":"Modeling and Parameter Estimation for Gas‐Phase Polyethylene Product Properties Using Dynamic and Steady‐State Data","year":2023,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Copolymer; Estimation theory; Reaction rate constant; Thermodynamics; Kinetic energy; Polyethylene; Scale (ratio); Biological system; Materials science; Chemistry; Computer science; Kinetics; Polymer; Algorithm; Physics; Organic chemistry","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":[0.001286865,0.0008565811,0.0005564857,0.0004334775,0.0003295571,0.0006218685,0.000786482,0.0006572526,0.0008607653],"category_scores_gemma":[0.002193551,0.0005568131,0.0008428741,0.000263774,0.0003284556,0.0007721871,0.0003001676,0.000902236,0.0002462706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007063003,"about_ca_system_score_gemma":0.0007066843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007717657,"about_ca_topic_score_gemma":0.004603269,"domain_scores_codex":[0.9997777,0.00006580737,0.0000135234,0.00006447057,0.00005118163,0.00002744518],"domain_scores_gemma":[0.9983462,0.001321313,0.0001090221,0.00008172404,0.0001264678,0.00001522821],"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":[0.00004579909,0.00005450756,0.001798479,0.00002118616,0.00002088774,0.00001655326,0.00002036659,0.9886325,0.003010275,0.0004113483,0.00006632055,0.00590184],"study_design_scores_gemma":[0.000003633788,0.00001751586,0.0005673706,0.00000129241,0.000004901623,0.000003556884,0.000002870323,0.9965265,0.002564163,0.00022499,0.00007821452,0.000004960476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224294,0.0001333419,0.4745607,0.0001230199,0.00001363647,0.00009595667,0.000479178,0.0006709414,0.001493878],"genre_scores_gemma":[0.9823697,0.00006428138,0.01594473,0.00001045146,0.000003401815,0.0001454756,0.0003521276,0.00003730638,0.00107261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007717657,"threshold_uncertainty_score":0.01534551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509257819747211,"score_gpt":0.2840867723551579,"score_spread":0.2331609903804369,"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."}}