{"id":"W2327733488","doi":"10.1103/physrevlett.94.101802","title":"Search for Excited and Exotic Electrons in the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>e</mml:mi><mml:mi>γ</mml:mi></mml:math>Decay Channel in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>p</mml:mi><mml:mover accent=\"true\"><mml:mi>p</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>Collisions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>","year":2005,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Particle Physics; University of Toronto","funders":"Russian Foundation for Basic Research","keywords":"Excited state; Physics; Algorithm; Computer science; Atomic physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004209394,0.0002916246,0.0004567478,0.0008916122,0.0011846,0.001435008,0.0006418937,0.000950927,0.02207986],"category_scores_gemma":[0.0005001504,0.0004022446,0.0005905571,0.001058461,0.0002031155,0.0009019859,0.0007887017,0.0007231919,0.003477459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006064094,"about_ca_system_score_gemma":0.0003548712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704751,"about_ca_topic_score_gemma":0.004757608,"domain_scores_codex":[0.9998518,0.00001898872,0.00000540807,0.00004343963,0.0000361971,0.00004414155],"domain_scores_gemma":[0.9997631,0.00008232606,0.00003391985,0.00004020905,0.00003530024,0.00004509706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008284833,0.0009358402,0.1042522,0.001325361,0.0004541336,0.009265955,0.003001984,0.01537128,0.3870983,0.1831668,0.127484,0.1593594],"study_design_scores_gemma":[0.00140758,0.001333179,0.09984872,0.0002777849,0.0005372848,0.004469682,0.003480343,0.2105338,0.4486055,0.08045509,0.1487317,0.0003192427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597791,0.0007527205,0.02766256,0.001388538,0.0001147787,0.00008485928,0.007286819,0.003015481,0.09991504],"genre_scores_gemma":[0.9562244,0.0001924589,0.01488041,0.0003325804,0.00001726663,0.00005242831,0.006367225,0.0004194501,0.02151374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02207986,"threshold_uncertainty_score":0.07386446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179149691466541,"score_gpt":0.2673770185577327,"score_spread":0.2455855216430672,"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."}}