{"id":"W1988672357","doi":"10.1103/physrevd.64.016004","title":"Non-Gaussian correlations in the McLerran-Venugopalan model","year":2001,"lang":"en","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gaussian; RADIUS; Gaussian function; Physics; Function (biology); Statistical physics; Nucleus; Order (exchange); Quantum mechanics; Computer science; Biology","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":[0.003046902,0.0006497051,0.001488541,0.001415368,0.001660952,0.002889764,0.003479338,0.001797166,0.002872196],"category_scores_gemma":[0.004512317,0.0005429498,0.001084837,0.001510461,0.00325933,0.00409133,0.001935511,0.001918381,0.0007078488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402911,"about_ca_system_score_gemma":0.001827994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086972,"about_ca_topic_score_gemma":0.008861165,"domain_scores_codex":[0.9990771,0.0003691567,0.00002569637,0.0001184405,0.000200095,0.0002094683],"domain_scores_gemma":[0.9976847,0.0009522488,0.0004413378,0.0003822363,0.0002417317,0.0002977167],"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":[0.0000226868,0.00001856653,0.0003232201,0.00001163208,0.000009213779,0.000123298,0.00006575199,0.01905961,0.000135455,0.9787374,0.0005858232,0.0009073861],"study_design_scores_gemma":[0.00003147677,0.00002440001,0.0004755696,0.00001779067,0.00001639602,0.0001601994,0.00004925324,0.2842308,0.0001151085,0.7135686,0.001274225,0.00003618531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.513644,0.00363843,0.3525791,0.01154762,0.0003365107,0.0001231995,0.0006186192,0.0004695775,0.1170429],"genre_scores_gemma":[0.9657332,0.001223406,0.0137637,0.0006541887,0.0001783372,0.0001176509,0.0001106118,0.00008416608,0.01813473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086972,"threshold_uncertainty_score":0.02161288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795318286338691,"score_gpt":0.3635296356645314,"score_spread":0.3355764528011445,"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."}}