{"id":"W2951148554","doi":"10.48550/arxiv.1702.05208","title":"Vapor Condensed and Supercooled Glassy Nanoclusters","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Nanoclusters; Supercooling; Materials science; Chemical physics; Cluster (spacecraft); Glass transition; Voronoi diagram; Molecular dynamics; Relaxation (psychology); Icosahedral symmetry; Nanotechnology; Crystallography; Thermodynamics; Chemistry; Computational 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003042324,0.000311914,0.0004211681,0.00009501199,0.0003548608,0.0004062059,0.0007614004,0.0003093088,0.0004026493],"category_scores_gemma":[0.00004682722,0.0003083851,0.00009514207,0.00003514288,0.0003651626,0.0002137333,0.001430633,0.0002187234,0.0001530388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008047197,"about_ca_system_score_gemma":0.0001378319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009942554,"about_ca_topic_score_gemma":0.0001165604,"domain_scores_codex":[0.998457,0.0001261073,0.00018298,0.0008263811,0.00007395224,0.0003336233],"domain_scores_gemma":[0.9985754,0.00003882324,0.0002251595,0.0008876863,0.0001105856,0.000162273],"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":[0.0032883,0.0003817016,0.01495753,0.003842026,0.000526844,0.003260999,0.003188958,0.03575378,0.8038532,0.1259608,0.004021958,0.00096399],"study_design_scores_gemma":[0.01592672,0.001350997,0.02826026,0.003355691,0.002399415,0.0002083634,0.002149749,0.5842027,0.09716319,0.2189248,0.03404183,0.0120163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941211,0.00009357344,0.0005518494,0.00009627762,0.00159237,0.0002821184,0.0001488148,0.0001091979,0.003004692],"genre_scores_gemma":[0.9927506,0.0002591975,0.0001180727,0.00007113704,0.00008992707,0.000001198887,0.0000272825,0.00002705891,0.00665547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.70669,"threshold_uncertainty_score":0.9999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07210593979771983,"score_gpt":0.1812094366382455,"score_spread":0.1091034968405257,"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."}}