{"id":"W7033820869","doi":"","title":"Search for Z ' -&gt; e(+) e(-) using dielectron mass and angular distribution","year":2006,"lang":"en","type":"article","venue":"","topic":"Business, Education, Mathematics Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Council; Alfred P. Sloan Foundation; Russian Foundation for Basic Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Helicity; Invariant mass; Mass distribution; Fermilab; Detector; Boson; Gauge boson","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":[],"consensus_categories":[],"category_scores_codex":[0.0005333235,0.0001282802,0.0001398132,0.0001540413,0.0003164041,0.0004627585,0.000126989,0.00005937137,0.0001094566],"category_scores_gemma":[0.00005517288,0.0001177466,0.00003911768,0.0004665133,0.00006193947,0.0008040558,0.00005202073,0.00007105961,0.00003170429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006872568,"about_ca_system_score_gemma":0.00005339897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009745826,"about_ca_topic_score_gemma":0.00008882541,"domain_scores_codex":[0.9988994,0.000006610058,0.000199213,0.0002402831,0.0002638591,0.0003906605],"domain_scores_gemma":[0.9992797,0.00005776155,0.000067814,0.0001756523,0.0004089682,0.00001004834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009488389,0.0004801008,0.05954412,0.002348657,0.00005376602,0.000003458019,0.00004531175,0.0004750526,0.06592675,0.832477,0.03492708,0.003623833],"study_design_scores_gemma":[0.002267618,0.00003457613,0.05742576,0.0001449529,0.0001897797,0.00001242254,0.0004825159,0.6443885,0.01543155,0.1295025,0.1489443,0.001175413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8053524,0.0001510695,0.1862839,0.001430907,0.0001119594,0.0006412421,0.000007030287,0.0001005351,0.005920904],"genre_scores_gemma":[0.9934933,0.000006091576,0.003768202,0.00009541845,0.001230835,0.00003155228,0.000282503,0.00003365642,0.001058491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7029744,"threshold_uncertainty_score":0.4801566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170663110578795,"score_gpt":0.2880298582186132,"score_spread":0.2563232271128253,"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."}}