{"id":"W4400051391","doi":"10.1051/epjconf/202429613010","title":"Exploring the freeze-out hypersurface of relativistic nuclear collisions with a rapidity-dependent thermal model","year":2024,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Rapidity; Physics; Hypersurface; Thermal; Particle physics; Nuclear physics; Thermodynamics; Hadron; Mathematics","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":[0.0009566707,0.0006590014,0.0006181823,0.000538169,0.0006916311,0.0009192089,0.001137824,0.0005975136,0.001092189],"category_scores_gemma":[0.002421447,0.0007539424,0.0008644941,0.0003403237,0.001372073,0.001131583,0.0008562726,0.0006936329,0.0001465752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135612,"about_ca_system_score_gemma":0.0009698808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386041,"about_ca_topic_score_gemma":0.007410295,"domain_scores_codex":[0.9998314,0.00006670736,0.0000065502,0.00002508579,0.0000284897,0.00004174699],"domain_scores_gemma":[0.9992363,0.0003176647,0.0001861558,0.00008765522,0.00008022712,0.00009187853],"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":[0.00007277638,0.00002873547,0.00298883,0.00003195116,0.00003587785,0.0001391266,0.0000822732,0.9650984,0.004554556,0.0255133,0.0001888788,0.001265371],"study_design_scores_gemma":[0.00000723603,0.000008885281,0.0004842308,0.000002451593,0.00000441294,0.000008707617,0.000005580097,0.9949332,0.0003255627,0.004158636,0.00005081746,0.00001034662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7602053,0.0005271377,0.2288214,0.0004727206,0.00004044517,0.00006606805,0.0002835198,0.0005343001,0.009049109],"genre_scores_gemma":[0.9914892,0.0001599499,0.006925496,0.00005052434,0.00001803875,0.00002771728,0.0001250446,0.0001250434,0.001078986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01386041,"threshold_uncertainty_score":0.02755946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09508482627139322,"score_gpt":0.2918205807480551,"score_spread":0.1967357544766618,"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."}}