{"id":"W4327723710","doi":"10.1021/acs.macromol.3c00013","title":"Behaviors of a Polymer Chain in Channels: From Zimm to Rouse Dynamics","year":2023,"lang":"en","type":"article","venue":"Macromolecules","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Diffusion; Crossover; Chain (unit); Scaling; Statistical physics; Dynamics (music); Polymer; Molecular dynamics; Physics; Confined space; Thermodynamics; Chemistry; Computational chemistry; Mathematics; Quantum mechanics; Nuclear magnetic resonance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002312489,0.0001394077,0.0002370848,0.0001732381,0.00003874491,0.00006835244,0.000302013,0.00006772111,0.0002791678],"category_scores_gemma":[0.00003295808,0.0001259159,0.00004058044,0.0003177512,0.0000507685,0.00005283302,0.0002199178,0.00004624878,0.0002852541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000359601,"about_ca_system_score_gemma":0.00002261892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006429004,"about_ca_topic_score_gemma":0.001007224,"domain_scores_codex":[0.9988621,0.00007018983,0.0002927954,0.0002790283,0.0001870735,0.0003088225],"domain_scores_gemma":[0.9995546,0.00002293688,0.00006034923,0.0002655647,0.00002826708,0.0000682627],"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":[0.00005535618,0.00003678521,0.0007366589,0.0000203409,0.000002913644,0.00004593717,0.001176412,0.0001970577,0.9954629,0.001379301,0.00005212453,0.000834215],"study_design_scores_gemma":[0.0003106216,0.000122254,0.003465606,0.0001078174,0.000009834282,0.000002107399,0.0004560128,0.007651404,0.9866741,0.0008082283,0.00009400362,0.0002979749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979725,0.00005264195,0.0001493569,0.0003405896,0.0005937015,0.000170977,0.0004514697,0.00008757831,0.0001811986],"genre_scores_gemma":[0.9987714,0.00001384476,0.0002522802,0.00009699358,0.00003810639,0.00004336629,0.00006996493,0.00002870487,0.0006853549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008788762,"threshold_uncertainty_score":0.9718775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130072389812516,"score_gpt":0.2394658861790621,"score_spread":0.2264586471978104,"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."}}