{"id":"W2955347159","doi":"10.1038/s41598-019-45933-2","title":"Local dynamics within the glass transition domain","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Compute Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Glass transition; Amorphous solid; Molecular dynamics; Polymer; Dihedral angle; Materials science; Work (physics); Polystyrene; Chemical physics; Thermodynamics; Chemistry; Molecule; Computational chemistry; Composite material; Physics; Crystallography; Organic chemistry","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":[0.00007472606,0.00009779473,0.0001643372,0.0002556944,0.0002941318,0.0005840907,0.0002317485,0.0001909089,0.001625045],"category_scores_gemma":[0.0002430548,0.0001186861,0.0001275171,0.0001128153,0.0007108847,0.0007981802,0.0004351476,0.0003549146,0.000200544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867851,"about_ca_system_score_gemma":0.0002333485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008504972,"about_ca_topic_score_gemma":0.0004904863,"domain_scores_codex":[0.9999639,0.000003652657,9.212773e-7,0.0000142321,0.000007160147,0.00001011559],"domain_scores_gemma":[0.9999158,0.00002681092,0.0000148701,0.00001085907,0.00001154501,0.00001998165],"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":[0.0003437897,0.00020212,0.008729,0.0001865875,0.00005930131,0.000496325,0.001252023,0.06056691,0.5673681,0.3299828,0.001553232,0.0292598],"study_design_scores_gemma":[0.0001141544,0.0003993498,0.03211533,0.00006304168,0.00006407195,0.0003615471,0.0005041985,0.6349931,0.1167006,0.1981053,0.0164868,0.00009252169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550388,0.0004850338,0.03379916,0.0001646345,0.0000168637,0.00002322085,0.00009843001,0.0002256803,0.01014815],"genre_scores_gemma":[0.996955,0.0001241283,0.001931126,0.00001701292,0.000005762632,0.0000161546,0.00004872449,0.00001965275,0.000882393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001625045,"threshold_uncertainty_score":0.005436242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006324468215099231,"score_gpt":0.1995597861313065,"score_spread":0.1932353179162073,"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."}}