{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053251,0.0001051302,0.0001428438,0.0000291405,0.00008903796,0.00008863377,0.0001385503,0.00005772246,0.0006642923],"category_scores_gemma":[0.00005069924,0.00005970093,0.00001751594,0.00003255093,0.0001194885,0.0001639524,0.0001009891,0.00001595011,0.0003356267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001790415,"about_ca_system_score_gemma":0.00002767308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008344917,"about_ca_topic_score_gemma":0.00001553054,"domain_scores_codex":[0.9992445,0.00005006932,0.0001553714,0.0002155742,0.0001133074,0.0002211819],"domain_scores_gemma":[0.999609,0.00004969785,0.00003620156,0.0001971047,0.00004092947,0.00006708184],"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":[0.00005371951,0.000006445797,0.0002909546,0.00001477302,0.000002902307,0.000004167332,0.0000976105,1.380544e-7,0.9969507,0.001026634,0.0006069165,0.0009450535],"study_design_scores_gemma":[0.001015239,0.0001307753,0.001402571,0.00006265868,0.00001230985,0.00002482541,0.0000387886,0.00002065969,0.974015,0.001000128,0.0220291,0.000247923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997299,0.00008723191,0.00005254105,0.0008389296,0.0006401298,0.0001030699,0.0000376057,0.00005891122,0.0008825412],"genre_scores_gemma":[0.9948545,0.00005688364,0.0002296363,0.0002856946,0.00005745247,0.00001042514,0.000001684207,0.00001331577,0.004490429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02293566,"threshold_uncertainty_score":0.7273535,"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."}}