{"id":"W4406097811","doi":"10.1103/physrevc.111.014901","title":"Comparisons and predictions for collisions of deformed <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mmultiscripts> <mml:mi mathvariant=\"normal\">U</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>238</mml:mn> </mml:mmultiscripts> </mml:math> nuclei at <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:msqrt> <mml:msub> <mml:mi>s</mml:mi> <mml:mrow> <mml:mi>N</mml:mi> <mml:mi>N</mml:mi> </mml:mrow> </mml:msub> </mml:msqrt> <mml:mo>=</mml:mo> <mml:mn>193</mml:mn> </mml:mrow> </mml:math> GeV","year":2025,"lang":"lv","type":"article","venue":"Physical review. C","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Physics; Algorithm; Computer science","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":[0.004000542,0.002788829,0.001391397,0.002249179,0.002574004,0.003104734,0.006041039,0.001716304,0.02669646],"category_scores_gemma":[0.004779897,0.0009886939,0.002708111,0.003298747,0.001714773,0.002520069,0.001899722,0.00168604,0.004043476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005121258,"about_ca_system_score_gemma":0.001911397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387694,"about_ca_topic_score_gemma":0.026837,"domain_scores_codex":[0.9969864,0.0006610873,0.0001385449,0.000642904,0.0008087723,0.000762248],"domain_scores_gemma":[0.9947852,0.002811088,0.0007465009,0.0006049157,0.0006985107,0.0003537536],"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":[0.002263901,0.0007010436,0.07262084,0.001334288,0.0004019667,0.001592875,0.0009355225,0.7109894,0.01043084,0.1260964,0.04555737,0.02707547],"study_design_scores_gemma":[0.0004361345,0.000404728,0.02245906,0.0001573242,0.0001604033,0.0002691887,0.0006830299,0.9004628,0.02829858,0.03795186,0.008433578,0.0002832927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6095259,0.002810427,0.09448787,0.00438034,0.001267071,0.0007536889,0.03462675,0.01306456,0.2390834],"genre_scores_gemma":[0.9746883,0.0004648115,0.005688817,0.0003399667,0.0001294566,0.0002708645,0.009235381,0.001156964,0.008025487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02669646,"threshold_uncertainty_score":0.08930862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464420035821422,"score_gpt":0.2775910292359329,"score_spread":0.2529468288777186,"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."}}