{"id":"W4391124576","doi":"10.1103/physrevc.109.014907","title":"Rapidity scan with multistage hydrodynamic and statistical thermal models","year":2024,"lang":"en","type":"article","venue":"Physical review. C","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rapidity; Hadronization; Physics; Pseudorapidity; Thermal; Nuclear physics; Beam (structure); Particle physics; Distribution (mathematics); Phase diagram; Phase (matter); Thermodynamics; Charged particle; Hadron; Quantum mechanics; Optics","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":[0.0001543526,0.0001648378,0.0002835265,0.00002680908,0.00009620821,0.00009567257,0.0001251265,0.00001160958,0.0001821152],"category_scores_gemma":[0.00001141581,0.0001103946,0.00006426714,0.000243961,0.0001985303,0.0002052979,0.00009013023,0.000253918,0.0001451252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002476616,"about_ca_system_score_gemma":0.00007705934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138486,"about_ca_topic_score_gemma":0.000004161589,"domain_scores_codex":[0.9987702,0.0001110789,0.0001524899,0.0003628336,0.0002956058,0.0003078041],"domain_scores_gemma":[0.9992525,0.0002259826,0.00001951962,0.0002648357,0.00004026683,0.0001968749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002200398,0.0002637242,0.0003245046,0.0006023718,0.0001170082,0.00003520904,0.0001162733,0.003994923,0.004794897,0.9320268,0.0006017513,0.05710054],"study_design_scores_gemma":[0.0001838998,0.00007449677,0.0005235003,0.000632492,0.00006362506,0.000001244238,0.000008517602,0.9893318,0.0003402776,0.00623458,0.002416148,0.000189405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520887,0.002767794,0.03545303,0.0004390157,0.00003476027,0.0004291612,0.0001714203,0.00007588766,0.008540218],"genre_scores_gemma":[0.9986674,0.0002050737,0.0005140532,0.00001211899,0.0001658065,0.00008861663,0.00003279314,0.00002724092,0.0002868528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9853369,"threshold_uncertainty_score":0.4501761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519396189632996,"score_gpt":0.3409863130554656,"score_spread":0.3257923511591356,"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."}}