{"id":"W7002147577","doi":"","title":"Measurement of ratios of fragmentation fractions for bottom hadrons in p(p)over-bar collisions at root s=1.96 TeV","year":2008,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fermilab; Science and Technology Facilities Council; Alfred P. Sloan Foundation; National Science Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; 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":"Tevatron; Hadron; Fragmentation (computing); Sigma; Large Hadron Collider; Branching fraction; Standard deviation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008664401,0.0002242718,0.0005629306,0.0007234981,0.0004077641,0.0000305353,0.001007033,0.0001351693,0.00002342127],"category_scores_gemma":[0.0001713865,0.0002544543,0.000248262,0.001233888,0.0001124007,0.001184157,0.0003005473,0.000150997,0.00002687926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352977,"about_ca_system_score_gemma":0.0004350938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222273,"about_ca_topic_score_gemma":0.00137237,"domain_scores_codex":[0.9972764,0.0002644697,0.0006187203,0.0005629591,0.0009260555,0.000351448],"domain_scores_gemma":[0.997429,0.0002262586,0.0005992836,0.0009495192,0.0006302748,0.0001656676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008164661,0.003296479,0.7740733,0.00236859,0.001658334,0.0003397056,0.0131135,0.02375395,0.04789271,0.09022865,0.04133669,0.00112163],"study_design_scores_gemma":[0.02202977,0.001696869,0.4712292,0.003261498,0.001382544,0.0002499478,0.01444727,0.2958761,0.1098525,0.0002706587,0.0767213,0.002982387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6411381,0.0001329146,0.3548406,0.0004981069,0.0003869605,0.001282065,0.0003184427,0.0001037944,0.001299014],"genre_scores_gemma":[0.9889031,0.00001976941,0.01048901,0.00001297323,0.00002782445,0.00001351776,0.0000693985,0.00001333424,0.0004510524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.347765,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426366647582904,"score_gpt":0.2256928982354791,"score_spread":0.20142923175965,"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."}}