{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006302134,0.0001603804,0.0003184771,0.0001674826,0.00034087,0.0004147362,0.0003680584,0.0003372615,0.001199851],"category_scores_gemma":[0.000245869,0.0001578201,0.0003641382,0.000173611,0.0005072317,0.0003529956,0.0002993225,0.0003730168,0.00007546659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008904689,"about_ca_system_score_gemma":0.0006339741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01472618,"about_ca_topic_score_gemma":0.009118004,"domain_scores_codex":[0.9999324,0.000004647064,0.0000018108,0.00001382325,0.00001843854,0.00002881535],"domain_scores_gemma":[0.999927,0.00001785978,0.00001816375,0.000009255377,0.00001090261,0.00001691356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002034344,0.0002110779,0.00812496,0.0001069442,0.0001593918,0.0003851351,0.0003325837,0.7535179,0.2203116,0.01196861,0.0004709046,0.004207501],"study_design_scores_gemma":[0.00009228911,0.0001735561,0.003808003,0.000005263264,0.00002629633,0.00003073402,0.00008295701,0.9562402,0.03765485,0.001159298,0.0007070457,0.00001952407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978687,0.00002387443,0.001153673,0.00003300738,0.000004337383,0.000006848546,0.0000601944,0.00002538661,0.0008241315],"genre_scores_gemma":[0.9977669,0.00003151158,0.001616729,0.00001917421,0.000002151395,0.00001676569,0.0001090573,0.0000177419,0.0004201416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472618,"threshold_uncertainty_score":0.02928096,"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."}}