{"id":"W2008762786","doi":"10.1016/j.jcp.2013.07.004","title":"Random generation of periodic hard ellipsoids based on molecular dynamics: A computationally-efficient algorithm","year":2013,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Composite Material Mechanics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ellipsoid; Algorithm; Mathematics; Cube (algebra); Aspect ratio (aeronautics); Binary number; Tetrahedron; Computer science; Geometry; Physics","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":[0.0009010337,0.0006444723,0.001428674,0.0008625799,0.0009564338,0.0008880253,0.002278595,0.001516099,0.00814641],"category_scores_gemma":[0.004108321,0.0008278882,0.0006881868,0.0008852594,0.0007077729,0.001115828,0.001731364,0.001191954,0.001112091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007715675,"about_ca_system_score_gemma":0.00182792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004490799,"about_ca_topic_score_gemma":0.006440155,"domain_scores_codex":[0.9996445,0.0001041408,0.00001545635,0.00005867052,0.0001288855,0.00004825899],"domain_scores_gemma":[0.9980953,0.001190305,0.00009572232,0.0002272669,0.0002542059,0.0001370518],"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":[0.0003261472,0.0001669295,0.0008277049,0.0001467157,0.00005900646,0.0001859268,0.000117518,0.8737231,0.003933345,0.02902877,0.00360269,0.08788208],"study_design_scores_gemma":[0.00004447292,0.00001041814,0.00002850398,0.000002491605,0.000003050067,0.000009784808,0.00000502485,0.9971344,0.0002662278,0.002284899,0.0002062252,0.000004572949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06235977,0.0002266205,0.9275755,0.0003473775,0.0001352155,0.0003171832,0.0001746734,0.001541416,0.00732229],"genre_scores_gemma":[0.3566056,0.0001293783,0.6384267,0.000208255,0.00005190104,0.0005251489,0.0003794611,0.0004816931,0.003191784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00814641,"threshold_uncertainty_score":0.02725244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007666269570124044,"score_gpt":0.199824864528501,"score_spread":0.192158594958377,"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."}}