{"id":"W2009665999","doi":"10.1016/j.nuclphysa.2014.07.021","title":"Jet quenching effects on the anisotropic flow at RHIC","year":2014,"lang":"en","type":"article","venue":"Nuclear Physics A","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Jet quenching; Physics; Rapidity; Anisotropy; Nuclear physics; Elliptic flow; Quark–gluon plasma; Jet (fluid); Momentum (technical analysis); Plasma; Energy flow; Flow (mathematics); Particle physics; Energy (signal processing); Heavy ion; Mechanics; Hadron; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001677933,0.0001590511,0.000157321,0.00002206468,0.0005100727,0.0001101566,0.0003160111,0.00002884858,0.0004515455],"category_scores_gemma":[0.0000268046,0.0001077858,0.0001144724,0.0002083455,0.00005890608,0.00008194979,0.0001783266,0.0002707448,0.002684887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000519057,"about_ca_system_score_gemma":0.00001853552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008186471,"about_ca_topic_score_gemma":0.000002732469,"domain_scores_codex":[0.9987384,0.000218774,0.0001129674,0.0002603193,0.0003149293,0.0003545944],"domain_scores_gemma":[0.998853,0.0003844757,0.00004506891,0.0005742747,0.0000409973,0.000102237],"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":[0.00002166389,0.0001408044,0.002234846,0.00001045827,0.00006071163,0.000001700095,0.0003817825,0.006971457,0.0136308,0.9501808,0.005683038,0.02068194],"study_design_scores_gemma":[0.001347061,0.0004613894,0.006757583,0.000125759,0.00004255066,7.867587e-7,0.0001028259,0.8108919,0.02816465,0.0211156,0.1303991,0.0005908181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748319,0.000003266925,0.001091805,0.0005958423,0.0001002499,0.0001634034,0.000005916214,0.00004928669,0.0231583],"genre_scores_gemma":[0.9983916,7.749695e-7,0.0002696405,0.0001126884,0.0007058713,0.00003634331,0.000005769317,0.00004527502,0.0004320748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9290652,"threshold_uncertainty_score":0.9980916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078624995944577,"score_gpt":0.2402018660618246,"score_spread":0.2294156161023788,"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."}}