{"id":"W2054939906","doi":"10.1007/s10853-006-1434-4","title":"LLDPE’s grown with Metallocene and Ziegler–Natta catalysts: events in the melt and FTIR analysis","year":2007,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crystallinity; Orthorhombic crystal system; Fourier transform infrared spectroscopy; Linear low-density polyethylene; Endotherm; Materials science; Natta; Differential scanning calorimetry; Calorimetry; Catalysis; Metallocene; Analytical Chemistry (journal); Polymer chemistry; Crystallography; Polymerization; Polyethylene; Chemistry; Polymer; Chemical engineering; Crystal structure; Composite material; Thermodynamics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006590549,0.0001219567,0.0003140269,0.0003494835,0.0001903226,0.0002506878,0.0004965102,0.00003011437,0.00009924896],"category_scores_gemma":[0.0001330107,0.0000627682,0.00002551803,0.0009363267,0.0005318786,0.0008399562,0.00009000939,0.00006096856,0.000002191006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003369135,"about_ca_system_score_gemma":0.0001084311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144362,"about_ca_topic_score_gemma":0.0001166346,"domain_scores_codex":[0.9981773,0.0001319384,0.0005022918,0.0002029741,0.0007029061,0.000282601],"domain_scores_gemma":[0.9991056,0.00007759834,0.000375962,0.0001764237,0.000149047,0.000115376],"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":[0.0001077436,0.00003048302,0.001746086,0.00001519541,0.00001807835,0.00001980002,0.001554805,0.00001965662,0.9962569,0.0001047149,0.000006223294,0.0001202468],"study_design_scores_gemma":[0.0004654521,0.0001437113,0.1135735,0.00004844553,0.0001578386,0.0003169347,0.0009716202,0.00001841456,0.8837982,0.000179085,0.0001826719,0.0001440996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984512,0.0004572686,0.0003560272,0.0003745526,0.0001480203,0.00007899052,0.00000597592,0.00000547073,0.0001225361],"genre_scores_gemma":[0.9987372,0.00008994664,0.0008791975,0.000208989,0.00004517595,0.000001184044,6.095947e-7,0.000005021818,0.00003272797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1124588,"threshold_uncertainty_score":0.2559613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366290661295692,"score_gpt":0.2527958941540452,"score_spread":0.2391329875410883,"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."}}