{"id":"W7033882863","doi":"","title":"Search for Scalar Bottom Quarks from Gluino Decays in <i>pp</i> Collisions at √s = 1.96 TeV","year":2006,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","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":"Gluino; Collider Detector at Fermilab; Hadronization; Top quark; Quark; Bottom quark; Scalar (mathematics); Standard Model (mathematical formulation)","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":[0.0005214151,0.0005147206,0.0003754792,0.0007702645,0.0006159548,0.001034643,0.0003899494,0.0005018359,0.001769791],"category_scores_gemma":[0.0007875582,0.0004163645,0.0002470248,0.001009911,0.0002529552,0.0004105112,0.000402482,0.0002727411,0.0004010971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557829,"about_ca_system_score_gemma":0.0001670096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008278219,"about_ca_topic_score_gemma":0.001011469,"domain_scores_codex":[0.9998054,0.00002951914,0.00001370933,0.00005746251,0.0000530542,0.00004088922],"domain_scores_gemma":[0.9995291,0.0001126226,0.0001696982,0.00004816339,0.00004603043,0.00009445524],"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":[0.002460491,0.0002250894,0.5171013,0.000133507,0.0001267223,0.006446175,0.000707415,0.00296742,0.4509939,0.00468494,0.000726218,0.01342677],"study_design_scores_gemma":[0.0004196476,0.001452259,0.592365,0.00003724185,0.0003189144,0.007252506,0.0007368048,0.03915262,0.3467883,0.005575782,0.005774945,0.0001261435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977336,0.00009776249,0.0009844763,0.00001889007,0.000004035367,0.000004154499,0.0001591781,0.0000392696,0.0009586301],"genre_scores_gemma":[0.9983469,0.00004422226,0.0008435131,0.00001237137,0.00000470997,0.000002494197,0.0003820446,0.000008763112,0.0003548958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001769791,"threshold_uncertainty_score":0.005920529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996987885557304,"score_gpt":0.2494995159156342,"score_spread":0.2295296370600611,"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."}}