{"id":"W4384643965","doi":"10.48550/arxiv.2307.07844","title":"Studying QGP transport properties in a concurrent minijet+hydro framework","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; European Commission; Natural Sciences and Engineering Research Council of Canada; McGill University; U.S. Department of Energy","keywords":"Thermalisation; Physics; Jet (fluid); Multiplicity (mathematics); Collision; Heavy ion; Nuclear physics; Statistical physics; Mechanics; Ion; Computer science; Geometry; Atomic physics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008217088,0.0007725997,0.000651887,0.0004897656,0.0007998293,0.001616755,0.001645089,0.0008018715,0.002246872],"category_scores_gemma":[0.002308182,0.0005118413,0.0009404204,0.0004487419,0.0009231907,0.00234061,0.001615049,0.001305878,0.0002708363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009506127,"about_ca_system_score_gemma":0.00110649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009404599,"about_ca_topic_score_gemma":0.003843123,"domain_scores_codex":[0.9997479,0.00005690331,0.000009390269,0.00006215691,0.00006308469,0.00006056356],"domain_scores_gemma":[0.9988956,0.0004048016,0.0002032562,0.000170829,0.0001620358,0.0001633109],"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":[0.0005104523,0.0004599105,0.01763643,0.0002419697,0.0002256105,0.001105087,0.0002873267,0.7707995,0.03359058,0.1632229,0.002455903,0.009464494],"study_design_scores_gemma":[0.00004835706,0.00005103001,0.001466094,0.000005224266,0.00002516082,0.00007276631,0.0000405653,0.9833001,0.002351394,0.01175064,0.0008621306,0.00002656248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7855568,0.0006747428,0.18885,0.0008038436,0.0002770933,0.0001532598,0.001072753,0.001072221,0.02153923],"genre_scores_gemma":[0.9775973,0.0002362071,0.01925758,0.0001410361,0.00009220638,0.00006567653,0.0003388742,0.0002254465,0.002045725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009404599,"threshold_uncertainty_score":0.01869971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908798759700508,"score_gpt":0.2480722593554306,"score_spread":0.05719238338537971,"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."}}