{"id":"W4414173540","doi":"10.1021/acs.macromol.5c01760","title":"Well-Defined Chain-End Functionalized Polyethylenes with Different Macromolecular Architectures","year":2025,"lang":"en","type":"article","venue":"Macromolecules","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"King Abdullah University of Science and Technology; Dow Chemical Company","keywords":"Polybutadiene; Crystallinity; Polyethylene; Polymerization; Linear low-density polyethylene; Macromolecule; Thermal analysis","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":[0.000107396,0.0004218609,0.0001292208,0.000187435,0.00008338806,0.0001726315,0.0001645535,0.0001719822,0.0008364987],"category_scores_gemma":[0.0001804212,0.0001187486,0.0001507844,0.0002206789,0.0001175275,0.0003600552,0.0001691596,0.0003025932,0.0003982998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127917,"about_ca_system_score_gemma":0.00009193399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000836276,"about_ca_topic_score_gemma":0.0002863183,"domain_scores_codex":[0.9999152,0.0000136119,0.000008596127,0.00002646541,0.00002090396,0.00001518335],"domain_scores_gemma":[0.9998664,0.00003045043,0.00004374111,0.00001786176,0.00002074756,0.00002077502],"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":[0.00003775819,0.00001493976,0.0001273945,0.00007964532,0.000005291714,0.00004710699,0.00001984435,0.000171104,0.9959551,0.0001193179,0.00001939909,0.003402961],"study_design_scores_gemma":[0.000005276955,0.000298605,0.001042492,0.000006091273,0.00001338794,0.0001792189,0.0000124539,0.0002548989,0.9946578,0.0000354852,0.003488644,0.000005573267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884537,0.001498677,0.0067262,0.00003162096,0.00001478259,0.00004684422,0.0002615461,0.00006746565,0.002899324],"genre_scores_gemma":[0.9829583,0.001786261,0.01193383,0.00004380998,0.00000998775,0.00003150613,0.0004168888,0.00004224321,0.002777192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008364987,"threshold_uncertainty_score":0.002798319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007381510373674225,"score_gpt":0.2157468617693616,"score_spread":0.2083653513956873,"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."}}