{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005966329,0.003541637,0.00192848,0.001951113,0.00749246,0.004677557,0.007672692,0.005609065,0.1413081],"category_scores_gemma":[0.005129368,0.006301749,0.007477889,0.005204465,0.006296515,0.005129218,0.008683627,0.00642448,0.006938657],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399154,"about_ca_system_score_gemma":0.006068382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00657648,"about_ca_topic_score_gemma":0.003938203,"domain_scores_codex":[0.9689333,0.002133286,0.007025628,0.006199459,0.007461612,0.008246723],"domain_scores_gemma":[0.9741423,0.005924826,0.00647115,0.007782961,0.001110759,0.004568003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003055817,0.001898638,0.00004444477,0.004096661,0.004860141,0.001279278,0.002529657,0.004107521,0.006738001,0.6077944,0.3604363,0.003159162],"study_design_scores_gemma":[0.006693095,0.004294483,0.0002103208,0.007149992,0.007389998,0.001826013,0.004265692,0.1795465,0.7413586,0.001123521,0.04095581,0.005186017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7041289,0.007847124,0.004248721,0.002488851,0.007671,0.000470794,0.004757854,0.001048705,0.267338],"genre_scores_gemma":[0.9578122,0.009021516,0.006024432,0.002472558,0.005411214,0.00886973,0.006492549,0.002745866,0.001149965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7346206,"threshold_uncertainty_score":0.9995663,"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."}}