{"id":"W4410485629","doi":"10.1021/acs.macromol.5c00498","title":"Collective Short-Time Dynamics in Polymer Melts: Two-Step Quenches and Spinodal Decomposition","year":2025,"lang":"en","type":"article","venue":"Macromolecules","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Gauss Centre for Supercomputing; Deutsche Forschungsgemeinschaft; Canada First Research Excellence Fund; Deutscher Akademischer Austauschdienst","keywords":"Spinodal decomposition; Polymer; Decomposition; Dynamics (music); Materials science; Statistical physics; Molecular dynamics; Chemical physics; Thermodynamics; Physics; Chemistry; Nuclear magnetic resonance; Computational chemistry; Phase (matter); Organic chemistry; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007534959,0.0001385337,0.0001194617,0.0001853263,0.0001361501,0.0001818334,0.0001647976,0.0001483673,0.0007157677],"category_scores_gemma":[0.0002856606,0.00011857,0.0001045661,0.00008727118,0.0003306605,0.0002851439,0.0001897391,0.0003149366,0.00005404633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227341,"about_ca_system_score_gemma":0.00009277106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000524156,"about_ca_topic_score_gemma":0.0006093244,"domain_scores_codex":[0.9999728,0.00000234709,0.000001162652,0.000006625397,0.000009868019,0.000007066642],"domain_scores_gemma":[0.9999101,0.00003626936,0.00002583141,0.000007528159,0.000006760411,0.00001338462],"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":[0.0001346184,0.00008791937,0.002024148,0.00005147921,0.00001561784,0.0002056346,0.0002663619,0.01813427,0.9706373,0.002259546,0.0001074738,0.006075636],"study_design_scores_gemma":[0.00004357762,0.0002485012,0.01515182,0.000009064992,0.0000152298,0.00007714744,0.00008511847,0.4244838,0.5577886,0.001561148,0.0005143552,0.00002168006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964115,0.00004672411,0.003112472,0.00002482985,0.000002162496,0.000004692038,0.00001509685,0.00005790875,0.000324697],"genre_scores_gemma":[0.9988862,0.000027096,0.0008242563,0.000003669112,0.000001831379,0.000007670006,0.00001534575,0.00001045079,0.0002234845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007157677,"threshold_uncertainty_score":0.002394438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003950978755493084,"score_gpt":0.2409437072785852,"score_spread":0.2369927285230921,"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."}}