{"id":"W2016153657","doi":"10.1002/(sici)1099-0488(20000515)38:10<1267::aid-polb10>3.0.co;2-5","title":"Environmental stress cracking resistance of polyethylene: The use of CRYSTAF and SEC to establish structure-property relationships","year":2000,"lang":"en","type":"article","venue":"Journal of Polymer Science Part B Polymer Physics","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental stress cracking; Crystallization; Polyethylene; Polymer; Materials science; Cracking; Fractionation; Polymerization; Polymer chemistry; Stress (linguistics); Gel permeation chromatography; Crystal structure; Characterization (materials science); Chemical engineering; Composite material; Chemistry; Organic chemistry; Nanotechnology; Stress corrosion cracking","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":[0.0003692815,0.0004108307,0.0001654985,0.0008413598,0.0001691401,0.000303357,0.0001386483,0.0002209069,0.0006573629],"category_scores_gemma":[0.0009446617,0.0001582488,0.0001951967,0.0005467297,0.0002995555,0.0005514404,0.0001333674,0.0004039312,0.0002051359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453545,"about_ca_system_score_gemma":0.0001586243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006511984,"about_ca_topic_score_gemma":0.0009122108,"domain_scores_codex":[0.9998228,0.00002310828,0.00001537386,0.00003335281,0.00007817259,0.00002721196],"domain_scores_gemma":[0.9992462,0.0002327175,0.0002627666,0.00006403437,0.0001479475,0.00004630372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008345058,0.00002549224,0.004966286,0.00003420799,0.00001307763,0.00003981308,0.00006393961,0.0002323556,0.9902464,0.00008018532,0.00002120183,0.004193552],"study_design_scores_gemma":[0.000003727929,0.0001698918,0.03025728,0.000003281466,0.00001344805,0.0002432688,0.0000326314,0.001605843,0.96688,0.00005344951,0.0007286538,0.000008559657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950537,0.0008252333,0.00320804,0.00002091163,0.000003213429,0.000011889,0.0001583673,0.00004042351,0.0006783184],"genre_scores_gemma":[0.9945942,0.0005667331,0.003748409,0.00001629074,0.000004461939,0.00001362862,0.0005243564,0.00002092231,0.0005109861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008413598,"threshold_uncertainty_score":0.002199054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368841383265879,"score_gpt":0.2328647437460115,"score_spread":0.1959806054194236,"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."}}