{"id":"W2024169065","doi":"10.1002/masy.200950822","title":"Simulation of Crystallization Analysis Fractionation (Crystaf) of Linear Olefin Block Copolymers","year":2009,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Thailand Research Fund","keywords":"Polyolefin; Microstructure; Copolymer; Materials science; Olefin fiber; Monte Carlo method; Elastomer; Polymer chemistry; Work (physics); Crystallization; Fractionation; Block (permutation group theory); Polymer science; Composite material; Thermodynamics; Polymer; Chromatography; Mathematics; Chemistry; Physics; Geometry; 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":[0.0002740167,0.0002785996,0.0002636347,0.0003026382,0.0003998381,0.0003060554,0.0003196156,0.0005638172,0.001414817],"category_scores_gemma":[0.0009694424,0.0001550248,0.0003101622,0.0002641502,0.0002838999,0.0002304828,0.0001836327,0.0003020188,0.00007918975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009669564,"about_ca_system_score_gemma":0.0007277781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301533,"about_ca_topic_score_gemma":0.007010391,"domain_scores_codex":[0.9999542,0.00001277515,0.000001963636,0.000006089657,0.000009786554,0.00001525905],"domain_scores_gemma":[0.9993731,0.0004671128,0.00004055994,0.00002242487,0.00006269209,0.00003413926],"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":[0.00009043322,0.00006208003,0.002709539,0.00004113913,0.00001275243,0.00006740356,0.00003739307,0.9882592,0.00457813,0.001703076,0.0001994344,0.002239377],"study_design_scores_gemma":[0.00000629908,0.00001135648,0.0002337872,0.000001414071,0.000001652556,0.00000341636,0.000004055771,0.9982842,0.001258064,0.0001234421,0.0000710481,0.000001342441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830266,0.0001163104,0.01162147,0.000116736,0.00001715914,0.00003938675,0.0002439668,0.0001133997,0.004705179],"genre_scores_gemma":[0.9940281,0.00004602736,0.005008999,0.00001625497,0.000003511128,0.00004323462,0.0001581966,0.00001912549,0.0006764649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301533,"threshold_uncertainty_score":0.02587914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015010743273691,"score_gpt":0.2583878487435209,"score_spread":0.248237741310784,"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."}}