{"id":"W7005745709","doi":"","title":"Search for standard-model Z and Higgs bosons decaying into a bottom-antibottom quark pair in proton-antiproton collisions at 1.96 TeV","year":2018,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fermilab; Istituto Nazionale di Fisica Nucleare; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia e Innovación; Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation; National Science Council; Science and Technology Facilities Council; National Research Foundation; National Research Foundation of Korea; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Higgs boson; Top quark; Boson; Quark; Large Hadron Collider; Pair production","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006047545,0.0002401872,0.0002774082,0.0001086282,0.001803142,0.0001176272,0.0003343572,0.0001498963,0.0001665964],"category_scores_gemma":[0.0001660222,0.0002318477,0.00006444858,0.0003326223,0.001583856,0.001027762,0.0009832676,0.0002204051,0.000128379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008521715,"about_ca_system_score_gemma":0.0002577309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003275168,"about_ca_topic_score_gemma":0.001466874,"domain_scores_codex":[0.9977745,0.00007848084,0.000374653,0.0007171682,0.0005152766,0.0005399256],"domain_scores_gemma":[0.9990874,0.0001255868,0.0000879681,0.0003964495,0.00007982962,0.0002227609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007315728,0.0001161112,0.9743934,0.00008965023,0.0000202109,0.00007123317,0.0008678978,0.0009271087,0.01370838,0.002604951,0.006361556,0.0001079603],"study_design_scores_gemma":[0.002707242,0.0007399429,0.01634536,0.0002301993,0.0000536327,0.0001596736,0.0004476212,0.06694479,0.785153,0.0006924213,0.1257756,0.0007505178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924679,0.00003884764,0.003197338,0.000594419,0.0004611843,0.001703607,0.0008452752,0.00006559437,0.0006257703],"genre_scores_gemma":[0.9835716,0.00002331451,0.01524861,0.0001945195,0.0001827095,0.000333223,0.0002719717,0.00001744212,0.0001565814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.958048,"threshold_uncertainty_score":0.9994964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133036388589733,"score_gpt":0.2723845295657553,"score_spread":0.251054165679858,"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."}}