{"id":"W4213021727","doi":"10.1063/5.0081185","title":"A <i>β</i>-NMR study of the depth, temperature, and molecular-weight dependence of secondary dynamics in polystyrene: Entropy–enthalpy compensation and dynamic gradients near the free surface","year":2022,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; Perimeter Institute; University of Waterloo; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enthalpy; Chemistry; Thermodynamics; Activation energy; Relaxation (psychology); Gibbs free energy; Polystyrene; Physical chemistry; Polymer; Physics","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":[0.0002236192,0.0001039719,0.0001990048,0.00001064044,0.0001695145,0.00002031967,0.0004561738,0.00001507002,0.000007335892],"category_scores_gemma":[0.000004497463,0.00006091835,0.00006180864,0.0002207922,0.0001837339,0.00006264497,0.0002481121,0.0005327804,6.58756e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004498024,"about_ca_system_score_gemma":0.0000664054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175646,"about_ca_topic_score_gemma":0.00001593762,"domain_scores_codex":[0.9990479,0.0001529059,0.0003094242,0.00009027676,0.000289787,0.0001096459],"domain_scores_gemma":[0.99911,0.0001251271,0.0004002752,0.0002842702,0.00005193714,0.00002835349],"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":[0.0002074845,0.001409233,0.05745169,0.00002649742,0.0002441216,0.000001410717,0.003556398,0.002957854,0.9163895,0.01660135,0.000107969,0.001046547],"study_design_scores_gemma":[0.007747741,0.0007729375,0.0517981,0.0001413227,0.0008191908,0.00007059136,0.0140394,0.0316681,0.6968753,0.1954407,0.00006978822,0.0005568435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998897,0.0001810892,0.0001725635,0.0003514674,0.00003117505,0.0002415134,0.00004566551,0.000001366456,0.00007817967],"genre_scores_gemma":[0.9998412,0.000007501062,0.00007586258,0.00003049458,0.00002220886,0.00000426056,0.00000405327,0.000009325225,0.000005071037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2195142,"threshold_uncertainty_score":0.2484178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003955396710986975,"score_gpt":0.2467416147680205,"score_spread":0.2427862180570335,"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."}}