{"id":"W2139839762","doi":"10.1103/physrevlett.93.141601","title":"Inclusive Double-Pomeron Exchange at the Fermilab Tevatron<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mover accent=\"true\"><mml:mi>p</mml:mi><mml:mo>¯</mml:mo></mml:mover><mml:mi>p</mml:mi></mml:math>Collider","year":2004,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Korea Science and Engineering Foundation; National Science Council; Alfred P. Sloan Foundation; Fermilab; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Pomeron; Physics; Tevatron; Antiproton; Production (economics); Fermilab; Particle physics; Proton; Factorization; Rapidity; Nuclear physics; Hadron; Algorithm; Large Hadron Collider; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007194534,0.0005650209,0.0004584977,0.0007686287,0.001103385,0.001223709,0.0005044384,0.0004665945,0.002992423],"category_scores_gemma":[0.0008600627,0.0004024386,0.0003664929,0.001138998,0.0004277748,0.000935638,0.0007363015,0.0003352316,0.0004478944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000548173,"about_ca_system_score_gemma":0.0002196631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008392375,"about_ca_topic_score_gemma":0.001321992,"domain_scores_codex":[0.9996244,0.00009865536,0.00001535976,0.00007715103,0.00009163658,0.00009278319],"domain_scores_gemma":[0.9995111,0.0001842197,0.0001006771,0.00009972229,0.00003124133,0.00007304451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0220868,0.00242162,0.1887953,0.0009118371,0.0006819979,0.04049908,0.004487158,0.07650476,0.4308837,0.09620265,0.004703123,0.131822],"study_design_scores_gemma":[0.001865146,0.003017457,0.1593574,0.00008113412,0.000397262,0.01800581,0.001389553,0.1481174,0.6110885,0.04543911,0.01092222,0.0003191651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938039,0.000144388,0.002412587,0.00004583311,0.000005171728,0.00001138766,0.0001596334,0.00005070632,0.003366395],"genre_scores_gemma":[0.9978127,0.00006380217,0.0008372169,0.00001086191,0.000004393407,0.000007070083,0.0002039081,0.00001043548,0.001049465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002992423,"threshold_uncertainty_score":0.01001066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146650663042814,"score_gpt":0.2850830398051932,"score_spread":0.263616533174765,"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."}}