{"id":"W2416509963","doi":"10.1142/s0218301316300058","title":"Predictions for p+Pb Collisions at sNN = 5TeV: Comparison with Data","year":2016,"lang":"en","type":"article","venue":"International Journal of Modern Physics E","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Lawrence Livermore National Laboratory; Nuclear Physics; Centre National de la Recherche Scientifique; National Natural Science Foundation of China; Office of Science; Agence Nationale de la Recherche; Narodowe Centrum Nauki; U.S. Department of Energy","keywords":"Large Hadron Collider; Physics; Particle physics; Nuclear physics; Mathematics; Combinatorics","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":[0.003166822,0.002194478,0.001218875,0.002319314,0.001516998,0.002093788,0.004077679,0.001642374,0.007828075],"category_scores_gemma":[0.003397558,0.0009610709,0.001791464,0.002686572,0.0009521096,0.001829955,0.001449956,0.001185442,0.003714066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002943342,"about_ca_system_score_gemma":0.001313047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212959,"about_ca_topic_score_gemma":0.01993212,"domain_scores_codex":[0.9979766,0.0003368569,0.0000949364,0.0004877289,0.0006898223,0.0004141364],"domain_scores_gemma":[0.9973989,0.001119923,0.0003114908,0.0003315638,0.0006099241,0.0002281888],"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":[0.002541157,0.0003804898,0.05605216,0.001221261,0.0003403319,0.001511771,0.0007000227,0.8103631,0.009374135,0.03925529,0.05002639,0.02823386],"study_design_scores_gemma":[0.000677715,0.0003061088,0.03272074,0.0002830641,0.0002163054,0.0002890315,0.0004306268,0.9012259,0.01959418,0.03209269,0.01182176,0.0003418357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358276,0.005723262,0.05527069,0.003478721,0.001427407,0.0002853611,0.05030803,0.0114594,0.1362196],"genre_scores_gemma":[0.9777831,0.0008063795,0.004806452,0.0004076062,0.0001083102,0.0001398503,0.01085196,0.0008452912,0.004251015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212959,"threshold_uncertainty_score":0.04234391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06566866615057604,"score_gpt":0.3635333911667975,"score_spread":0.2978647250162215,"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."}}