{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002883419,0.0001722787,0.0003627855,0.00003124326,0.00004486855,0.00006418873,0.0002603667,0.00001277575,0.0005181803],"category_scores_gemma":[0.00002697722,0.0001301225,0.00008607358,0.0001385353,0.00006327057,0.0002201337,0.00007898335,0.0001000221,0.0003797799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008741146,"about_ca_system_score_gemma":0.00001977949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037676,"about_ca_topic_score_gemma":0.00004573891,"domain_scores_codex":[0.9987569,0.0001028739,0.0003172368,0.0002822278,0.0002068694,0.0003339181],"domain_scores_gemma":[0.9995345,0.00003169888,0.00009438193,0.0002591704,0.00001622226,0.00006405456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001557093,0.0001123803,0.0001200471,0.0008238297,0.000005225142,0.00001007855,0.0002211066,0.0002138664,0.9897386,0.003194129,0.002826314,0.002718856],"study_design_scores_gemma":[0.001903801,0.0002739077,0.001533739,0.01117166,0.0002337514,0.00004734271,0.0001094985,0.5939962,0.348358,0.001005284,0.0381777,0.00318909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984882,0.001844074,0.00005277552,0.01198673,0.0001770169,0.0003228977,0.00002195276,0.00005930026,0.0006532713],"genre_scores_gemma":[0.9823118,0.0006769933,0.0004809667,0.0161207,0.0001598475,0.00005903055,0.00003012069,0.00002371954,0.0001368392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6413805,"threshold_uncertainty_score":0.567371,"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."}}