{"id":"W3121102097","doi":"10.1016/j.physa.2021.125764","title":"Structural (dis)order and dynamic propensity in a mildly undercooled glass-forming liquid: Spatial correlations and the role of crystalline environments","year":2021,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"Compute Canada","keywords":"Dynamical heterogeneity; Observable; Relaxation (psychology); Tetrahedron; Statistical physics; Molecular dynamics; Component (thermodynamics); Order (exchange); Materials science; Chemical physics; Particle (ecology); Physics; Thermodynamics; Crystallography; Glass transition; Chemistry; Geology; Polymer","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":[0.0001360422,0.0001382972,0.0001932928,0.000333253,0.0002691574,0.0004921106,0.0002866775,0.0002099045,0.0008541457],"category_scores_gemma":[0.0005349699,0.0001767403,0.0001229085,0.0002372534,0.0008979154,0.0006820571,0.0002852312,0.000337074,0.00006433954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830504,"about_ca_system_score_gemma":0.0004048011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126938,"about_ca_topic_score_gemma":0.002721835,"domain_scores_codex":[0.9999601,0.000004414727,0.000002079916,0.0000117635,0.000006054611,0.00001559659],"domain_scores_gemma":[0.9997166,0.00009036078,0.00009225563,0.00002286178,0.00002732734,0.00005062356],"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":[0.0006294168,0.0001326113,0.01869171,0.0001213359,0.00006005885,0.0005318495,0.0005355709,0.03154798,0.9231945,0.01745917,0.0007104224,0.006385311],"study_design_scores_gemma":[0.00006518629,0.0005345502,0.06741746,0.00002373712,0.0001078255,0.0002278032,0.0005794569,0.5973349,0.3181606,0.01450779,0.000922773,0.0001178241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981663,0.00008145357,0.0013456,0.00004327704,0.000003092264,0.000002340152,0.00003356866,0.00002236214,0.0003020191],"genre_scores_gemma":[0.9996139,0.00004348653,0.0001974399,0.000006979756,0.000003845419,0.000001952751,0.00003234876,0.000006698067,0.00009346419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003126938,"threshold_uncertainty_score":0.00621748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008520695065485407,"score_gpt":0.2224886168425739,"score_spread":0.2139679217770885,"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."}}