{"id":"W2230994373","doi":"10.1103/physrevlett.96.211801","title":"Search for<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mi>Z</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>→</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>e</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math>Using Dielectron Mass and Angular Distribution","year":2006,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":75,"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":"Physics; Tevatron; Particle physics; Fermilab","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":[0.0004369433,0.0007130366,0.0006777476,0.002913199,0.0008508976,0.00106825,0.0007823536,0.001240515,0.09102071],"category_scores_gemma":[0.0006183971,0.0003690998,0.0008247414,0.005120675,0.0001230393,0.0006754082,0.0007916175,0.0004324482,0.04312465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004207077,"about_ca_system_score_gemma":0.0004334486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002810669,"about_ca_topic_score_gemma":0.008173019,"domain_scores_codex":[0.9997519,0.00001114384,0.00001464145,0.00005843742,0.00008803875,0.00007581189],"domain_scores_gemma":[0.9996616,0.0001000327,0.00009319646,0.00003899111,0.00003935997,0.00006689083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002098298,0.0004758609,0.1511359,0.001938403,0.0005424015,0.008125447,0.0007624245,0.001574665,0.1164297,0.0212984,0.5451199,0.1504985],"study_design_scores_gemma":[0.0006457519,0.0004703042,0.242769,0.0002330258,0.0003711086,0.004370203,0.001023258,0.01440632,0.1597746,0.01027489,0.5655065,0.0001549521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4863799,0.003277106,0.03699159,0.002493405,0.000285129,0.0005013176,0.2781032,0.01733612,0.1746322],"genre_scores_gemma":[0.5213763,0.001411682,0.03736281,0.001511525,0.000197285,0.0003600001,0.3134073,0.004529972,0.1198432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09102071,"threshold_uncertainty_score":0.3044946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654432413012556,"score_gpt":0.2623744417865785,"score_spread":0.245830117656453,"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."}}