{"id":"W2006621073","doi":"10.1103/physrevlett.95.025701","title":"Probing Slow Dynamics in Supported Thin Polymer Films","year":2005,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Polystyrene; Thin film; Relaxation (psychology); Arrhenius equation; Activation energy; Polymer; Thermodynamics; Composite material; Nanotechnology; Physics; Physical chemistry; Chemistry","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":[0.0002186125,0.0002608601,0.0001642082,0.0002278701,0.0001505661,0.0002377402,0.0003143954,0.0002118266,0.0008976801],"category_scores_gemma":[0.0006202225,0.0001367543,0.0001323065,0.0001754278,0.0002133214,0.0003575074,0.0002388649,0.0007118854,0.0001644399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001269159,"about_ca_system_score_gemma":0.000102534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000582602,"about_ca_topic_score_gemma":0.000554874,"domain_scores_codex":[0.9999042,0.00001302362,0.00000545694,0.0000204247,0.00003474789,0.00002205056],"domain_scores_gemma":[0.9996578,0.0001499828,0.00006828445,0.00003979041,0.00005650748,0.00002772583],"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":[0.00002784479,0.0000122182,0.000244981,0.00003241253,0.000004523008,0.00003366785,0.00006538139,0.0003052145,0.9973696,0.0001670289,0.00002141045,0.001715674],"study_design_scores_gemma":[0.000008825164,0.0001262177,0.001616752,0.000005098755,0.00000678335,0.00005795762,0.00002210812,0.004638719,0.9928936,0.0001040945,0.00050916,0.00001061088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940257,0.0003975613,0.004917959,0.0000513216,0.000009366024,0.00001345157,0.00007301292,0.00004118972,0.0004703917],"genre_scores_gemma":[0.9922162,0.0006122028,0.006134134,0.00002408635,0.000008801146,0.00002667578,0.0001205808,0.00002313403,0.0008341388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008976801,"threshold_uncertainty_score":0.003003001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361322319312073,"score_gpt":0.2565453560575733,"score_spread":0.2429321328644526,"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."}}