{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004458971,0.002335347,0.001050697,0.001165108,0.003959051,0.004508269,0.005547266,0.004059635,0.5194758],"category_scores_gemma":[0.002118865,0.004563239,0.003125479,0.002846584,0.00560927,0.004990837,0.007068438,0.004581913,0.004186289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000442541,"about_ca_system_score_gemma":0.004772486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006668209,"about_ca_topic_score_gemma":0.002829654,"domain_scores_codex":[0.97773,0.001434667,0.004135058,0.00479466,0.006037526,0.005868049],"domain_scores_gemma":[0.98095,0.003978631,0.004671663,0.00660628,0.0005911953,0.003202231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004726873,0.001085731,0.00003973004,0.001974092,0.005189406,0.002163666,0.005023023,0.00946126,0.00670372,0.6474178,0.3108587,0.005356045],"study_design_scores_gemma":[0.005089635,0.003207382,0.0001200611,0.002505638,0.002790493,0.001068173,0.003691905,0.2892415,0.6827704,0.0003147903,0.00592684,0.003273102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5628281,0.001146115,0.001610853,0.0006252577,0.002221745,0.00009538732,0.001966704,0.0003710127,0.4291349],"genre_scores_gemma":[0.9767365,0.002105847,0.005192103,0.001662013,0.004553974,0.001843147,0.004894769,0.002547775,0.000463911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6760668,"threshold_uncertainty_score":0.9999465,"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."}}