{"id":"W2073131203","doi":"10.1016/j.nuclphysa.2014.03.015","title":"Constraining models of initial state with <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>v</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si2.gif\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>v</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:math> data from LHC and RHIC","year":2014,"lang":"lv","type":"article","venue":"Nuclear Physics A","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Physics; Eccentricity (behavior); Algorithm; Mathematics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001434663,0.001437562,0.001336348,0.001665811,0.001850625,0.004130122,0.001992407,0.002450896,0.03501188],"category_scores_gemma":[0.008127964,0.001682932,0.001980481,0.001681147,0.001173098,0.004356056,0.001792592,0.0023548,0.008602605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003468361,"about_ca_system_score_gemma":0.00348063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04127775,"about_ca_topic_score_gemma":0.05860002,"domain_scores_codex":[0.9994127,0.0002133225,0.00002476065,0.0001295788,0.0001037863,0.0001158911],"domain_scores_gemma":[0.9969614,0.001671296,0.0002129146,0.0006460613,0.0002720171,0.0002361384],"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":[0.0004994909,0.0001261612,0.005695097,0.0002903233,0.0001157301,0.0004800731,0.000357227,0.752377,0.001494775,0.1842005,0.03581546,0.01854835],"study_design_scores_gemma":[0.0001008152,0.00003270159,0.00085617,0.00007316826,0.00003466153,0.00005375901,0.0001337376,0.8595797,0.001838661,0.1233399,0.01390058,0.00005615331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09865417,0.0007268575,0.7118412,0.002493716,0.0003846316,0.0003364767,0.04082774,0.01072468,0.1340106],"genre_scores_gemma":[0.7787682,0.0007179977,0.1379661,0.0006456439,0.0001617483,0.0006411494,0.04576007,0.005129246,0.03020995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04127775,"threshold_uncertainty_score":0.1171264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661875085508578,"score_gpt":0.2583093379707707,"score_spread":0.2316905871156849,"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."}}