{"id":"W6992657073","doi":"","title":"Measurement of prompt charm meson production cross sections in p(p)over-bar collisions at root s=1.96 TeV","year":2003,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; National Science Council; Alfred P. Sloan Foundation; Fermilab; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Fermilab; Rapidity; Charm (quantum number); Collider Detector at Fermilab; Meson; Hadron; Detector","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004744464,0.000557698,0.0002430875,0.0006163653,0.0003655939,0.0006132021,0.0005098106,0.0003928557,0.00285243],"category_scores_gemma":[0.0008834183,0.0002887631,0.0002135686,0.0005218491,0.0003197826,0.0004399908,0.0006086366,0.0004633123,0.0006761125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003284621,"about_ca_system_score_gemma":0.00013114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000447745,"about_ca_topic_score_gemma":0.0005608773,"domain_scores_codex":[0.9997469,0.00003426677,0.000007087579,0.00007954607,0.00007966343,0.00005271189],"domain_scores_gemma":[0.9993954,0.0002074925,0.000201634,0.00006342046,0.00006449061,0.00006770337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003803736,0.0002950705,0.1102622,0.0001996162,0.0001014392,0.002690007,0.0004363683,0.006073743,0.8520762,0.002740621,0.0006270456,0.02069403],"study_design_scores_gemma":[0.0001714524,0.001857585,0.1413312,0.00001534345,0.00006653503,0.003740881,0.0001993235,0.0151433,0.833024,0.002004681,0.002364197,0.00008135406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970378,0.00009864579,0.001337712,0.00001632647,0.000004104267,0.00000438041,0.0001829406,0.0000802123,0.001237874],"genre_scores_gemma":[0.9979675,0.00008035688,0.000832826,0.00000720747,0.000004093188,0.000004641844,0.0003639038,0.00001175345,0.0007277098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00285243,"threshold_uncertainty_score":0.009542346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944870353824568,"score_gpt":0.2484045756452858,"score_spread":0.2289558721070402,"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."}}