{"id":"W2184603485","doi":"10.1103/physrevc.90.014909","title":"Extracting the jet transport coefficient from jet quenching in high-energy heavy-ion collisions","year":2014,"lang":"en","type":"article","venue":"Physical Review C","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":431,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China; McGill University; U.S. Department of Energy; Ministry of Science and Technology of the People's Republic of China; National Science Foundation","keywords":"Physics; Jet quenching; Parton; Large Hadron Collider; Hadron; Particle physics; Nuclear physics; Relativistic Heavy Ion Collider; Heavy ion; Jet (fluid); Quark–gluon plasma; Energy (signal processing); Ion","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":[0.000482911,0.0003439557,0.000192281,0.000992173,0.0001835613,0.0005667174,0.0004964319,0.0002489034,0.0008042898],"category_scores_gemma":[0.002334945,0.0002150255,0.0002911981,0.0008297406,0.0003481776,0.0004022878,0.0003465991,0.0003055939,0.0001686217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006649139,"about_ca_system_score_gemma":0.0003589739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004236601,"about_ca_topic_score_gemma":0.001995409,"domain_scores_codex":[0.9998772,0.00001713164,0.000004821034,0.00002865592,0.00004511641,0.00002705595],"domain_scores_gemma":[0.9993228,0.0003777219,0.0001736879,0.00004677597,0.00004822183,0.00003086141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002195171,0.0002150548,0.1286486,0.0003438526,0.0001639273,0.001619568,0.0006212937,0.2439489,0.5748141,0.01415753,0.0005138499,0.03275817],"study_design_scores_gemma":[0.0001387563,0.0002946631,0.2136153,0.00004277559,0.0001031442,0.0004496528,0.0001618555,0.5483264,0.2320375,0.003895517,0.0008372431,0.0000972966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829145,0.000162123,0.0138973,0.0000241565,0.000003349852,0.00002264826,0.0002763962,0.0001812078,0.002518266],"genre_scores_gemma":[0.9983135,0.00007044714,0.001154793,0.000005194038,0.000001374536,0.000007536537,0.0001840464,0.00002803771,0.0002349033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004236601,"threshold_uncertainty_score":0.008423924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190474023901167,"score_gpt":0.3140839164175432,"score_spread":0.2950365140274265,"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."}}