{"id":"W4389482563","doi":"10.54254/2753-8818/19/20230486","title":"Simulation of collision using Glauber model","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Glauber; Collision; Plot (graphics); Python (programming language); Statistical physics; Distribution (mathematics); Computer science; Nuclear physics; Physics; Computational physics; Mathematics; Statistics; Mathematical analysis; Scattering; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002683577,0.0006736668,0.0009380923,0.000592121,0.00140242,0.001075184,0.001703813,0.001791108,0.01281356],"category_scores_gemma":[0.001547984,0.0003832655,0.0007407985,0.0009060679,0.0006366792,0.001227886,0.0009060645,0.0008874324,0.0007489577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120763,"about_ca_system_score_gemma":0.001204864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02536016,"about_ca_topic_score_gemma":0.010211,"domain_scores_codex":[0.9996911,0.00005346216,0.00001048704,0.00005596805,0.00007534449,0.0001136081],"domain_scores_gemma":[0.9994643,0.0002434733,0.00005437367,0.00004166108,0.0001208527,0.00007544912],"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":[0.000140216,0.000071237,0.003751613,0.00007908503,0.00002827965,0.0003469759,0.0001319662,0.9760021,0.001405543,0.01380652,0.002300562,0.001935857],"study_design_scores_gemma":[0.00002667965,0.00002066679,0.0004357141,0.000007559371,0.000006800408,0.00003869056,0.00004774131,0.9950373,0.0005292672,0.002675437,0.001163243,0.00001082533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8090399,0.001095045,0.08875989,0.001656489,0.0003948365,0.0001961099,0.005901867,0.002249602,0.09070615],"genre_scores_gemma":[0.9747998,0.0003034394,0.01162519,0.0002244868,0.00003364585,0.0001850547,0.001840988,0.0002757951,0.01071157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02536016,"threshold_uncertainty_score":0.05042511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940123252633832,"score_gpt":0.3431355828352944,"score_spread":0.3237343503089561,"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."}}