{"id":"W1514041516","doi":"10.1007/11424758_84","title":"A Novel Delaunay Simplex Technique for Detection of Crystalline Nuclei in Dense Packings of Spheres","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Delaunay triangulation; Simplex; Voronoi diagram; Nucleation; Cluster (spacecraft); SPHERES; Materials science; Crystallization; Physics; Crystallography; Geometry; Computer science; Mathematics; Chemistry; Thermodynamics","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":[0.000470376,0.00111444,0.001296918,0.002083279,0.0006989061,0.00130141,0.001801128,0.0008924132,0.004990761],"category_scores_gemma":[0.001674109,0.0008279477,0.000747537,0.001672327,0.0005831632,0.001413277,0.002294183,0.001132964,0.002331206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004979959,"about_ca_system_score_gemma":0.0008664283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935377,"about_ca_topic_score_gemma":0.004693772,"domain_scores_codex":[0.9992419,0.000132405,0.00003125628,0.0001480203,0.0004045752,0.00004194164],"domain_scores_gemma":[0.998914,0.000402931,0.00006140049,0.0001687251,0.0003481086,0.0001048612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003498119,0.0001347056,0.001336656,0.0004323664,0.0001578543,0.0002467785,0.0003195144,0.0374624,0.2240956,0.0213822,0.008272577,0.7058095],"study_design_scores_gemma":[0.00003401082,0.00006619858,0.0005702798,0.00001462342,0.00002180459,0.000423474,0.00007119975,0.9462078,0.03791729,0.008596843,0.006013206,0.00006315014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004445459,0.0001024404,0.9938635,0.00003132195,0.0000311129,0.00004897537,0.00009875972,0.0007911024,0.00058734],"genre_scores_gemma":[0.01536409,0.0001023107,0.9830651,0.00001892954,0.00001867554,0.00007496995,0.0001806864,0.000155434,0.001019714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004990761,"threshold_uncertainty_score":0.01669574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752180039855516,"score_gpt":0.2394875941499994,"score_spread":0.2219657937514443,"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."}}