{"id":"W4414475352","doi":"10.1016/j.jspc.2025.100187","title":"Heavy-ion collision simulation with high performance computer","year":2025,"lang":"en","type":"article","venue":"Journal of subatomic particles and cosmology.","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Chung Mong-Koo Foundation; National Research Foundation of Korea; National Research Foundation","keywords":"Collision; Work (physics); Molecular dynamics; Order (exchange); Mathematical model","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":[0.0002725727,0.00009314568,0.0002101473,0.0001160744,0.000151429,0.00005113521,0.0001032973,0.00003372194,0.00001754864],"category_scores_gemma":[0.000005885526,0.00006620275,0.00003373271,0.000244007,0.00009708924,0.000205518,0.00005105362,0.0001589662,0.000006515157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003324785,"about_ca_system_score_gemma":0.0001128083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002737054,"about_ca_topic_score_gemma":0.000001491011,"domain_scores_codex":[0.9991488,0.00007795704,0.0003057478,0.0001190821,0.0001483855,0.0002000584],"domain_scores_gemma":[0.9993151,0.0001615846,0.0001342371,0.0001154367,0.0001892657,0.00008437138],"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":[0.001195907,0.0002905401,0.4544658,0.00002176041,0.0001722441,0.00001858668,0.0001738771,0.479573,0.00350872,0.02196534,0.0003961664,0.03821811],"study_design_scores_gemma":[0.003083509,0.0007082191,0.2169441,0.0001643165,0.00007549205,0.00002281665,0.000167355,0.7480319,0.02667599,0.002614651,0.001344286,0.0001674404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837924,0.00007007561,0.01544649,0.0004565864,0.00009954879,0.00007693862,0.000001753258,0.000006267773,0.00004992913],"genre_scores_gemma":[0.9986681,0.00001541193,0.001094291,0.00002830162,0.0001051013,0.000003481231,9.26493e-7,0.000006154896,0.00007826973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684589,"threshold_uncertainty_score":0.269967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051126056007825,"score_gpt":0.2698938816250154,"score_spread":0.2593826210649371,"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."}}