{"id":"W2253644232","doi":"10.1021/acsnano.5b07391","title":"Vapor Condensed and Supercooled Glassy Nanoclusters","year":2016,"lang":"en","type":"article","venue":"ACS Nano","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":4,"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; Molecular dynamics; Relaxation (psychology); Nanotechnology; Thermodynamics; Computational chemistry; 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":[0.00005575733,0.000149448,0.0003041789,0.0001460464,0.0003049887,0.0003727826,0.0003293476,0.0002915062,0.001019364],"category_scores_gemma":[0.0002359468,0.0001550793,0.0003631662,0.0001534371,0.0004445185,0.0003184045,0.0002553838,0.0003575924,0.00007018844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008342759,"about_ca_system_score_gemma":0.0006299338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423462,"about_ca_topic_score_gemma":0.009463656,"domain_scores_codex":[0.9999373,0.000003785614,0.000001836906,0.00001271716,0.00001784531,0.00002651728],"domain_scores_gemma":[0.999931,0.0000168229,0.00001730955,0.00000879963,0.00001033889,0.00001571741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001896229,0.0001805039,0.008166112,0.0001158411,0.000151837,0.0003995845,0.000336235,0.6602216,0.315656,0.00952931,0.0003420404,0.004711364],"study_design_scores_gemma":[0.0001007709,0.0002273019,0.00468649,0.000005642561,0.00003385847,0.00003931984,0.00009671409,0.9310739,0.06177298,0.001149021,0.0007904313,0.00002369353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979735,0.00002334651,0.001246187,0.00002560325,0.000003658482,0.000007031949,0.00005107503,0.00002264963,0.0006469017],"genre_scores_gemma":[0.9976282,0.00003430772,0.001830447,0.00001629874,0.000001808884,0.00001774942,0.00009877671,0.00001543993,0.00035703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423462,"threshold_uncertainty_score":0.02830356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009298958852986119,"score_gpt":0.1995295764946382,"score_spread":0.1902306176416521,"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."}}