{"id":"W1971330694","doi":"10.1002/macp.201200238","title":"Mathematical Modeling of Temperature Rising Elution Fractionation (TREF) of Polyethylene and Ethylene/1‐Olefin Copolymers","year":2012,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Comonomer; Fractionation; Copolymer; Elution; Polyethylene; Ethylene; Chemistry; Molar mass distribution; Dissolution; Chemical engineering; Olefin fiber; Chromatography; Polymer chemistry; Materials science; Organic chemistry; Polymer; Catalysis","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":[0.0006823852,0.0005364119,0.0005014787,0.0006321176,0.0002840003,0.0004782325,0.0007256576,0.0008200543,0.0006543308],"category_scores_gemma":[0.001278724,0.0002837378,0.0007539924,0.000332906,0.0005085779,0.0008629305,0.0003237839,0.0004846439,0.000213216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156167,"about_ca_system_score_gemma":0.0006244274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004622604,"about_ca_topic_score_gemma":0.001880153,"domain_scores_codex":[0.9998617,0.00002960194,0.000008770869,0.00003071839,0.00004212407,0.0000270561],"domain_scores_gemma":[0.9995296,0.0002640151,0.00009248624,0.00002557366,0.00007247789,0.00001594978],"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":[0.00003944697,0.00003136827,0.000544793,0.00006430272,0.00001022818,0.0001003933,0.00005006482,0.9655018,0.01832409,0.011302,0.0001573155,0.003874165],"study_design_scores_gemma":[0.000001761268,0.000004240041,0.00005181689,0.000001197306,0.000001416923,0.000006468917,0.000001609682,0.9983217,0.001168553,0.000364702,0.00007450234,0.000002017325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2397529,0.001289398,0.749442,0.0004283151,0.00004145748,0.0001568847,0.0002862019,0.0003285946,0.008274339],"genre_scores_gemma":[0.9659382,0.0008093775,0.0253935,0.00007321327,0.0000173888,0.0002315839,0.0001559488,0.00006934087,0.007311507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004622604,"threshold_uncertainty_score":0.009191394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216303642055741,"score_gpt":0.2330184978873208,"score_spread":0.2208554614667634,"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."}}