{"id":"W7024486090","doi":"","title":"Search for the reactions e+e-→μ+τ- and e+e-→e+τ-","year":2007,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Institute of High Energy Physics; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; SLAC National Accelerator Laboratory; Alexander von Humboldt-Stiftung; Alfred P. Sloan Foundation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; National Science Foundation","keywords":"Luminosity; Cross section (physics); Factory (object-oriented programming); Energy (signal processing); Sample (material); SIGNAL (programming language); Range (aeronautics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007231427,0.0001364122,0.0001235153,0.00011108,0.0009898476,0.001011443,0.0002859886,0.0000670736,0.002325854],"category_scores_gemma":[0.0002065404,0.0000840992,0.0000984755,0.00007700587,0.000722662,0.00126409,0.000112742,0.000452789,0.0006268409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711928,"about_ca_system_score_gemma":0.00006044824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008709489,"about_ca_topic_score_gemma":0.00001289313,"domain_scores_codex":[0.9987096,0.00003245931,0.000266214,0.0002363574,0.0003186837,0.0004367534],"domain_scores_gemma":[0.9981899,0.001217086,0.00003672838,0.0002216668,0.00005116738,0.000283482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005326808,0.0003011231,0.006437998,0.0002683236,0.000130551,0.00003588636,0.002168486,0.000001242205,0.0001091948,0.802693,0.06016672,0.1271548],"study_design_scores_gemma":[0.0002477319,0.00007125261,0.0003231389,0.0000235422,0.000008963251,0.000006009836,0.0007426884,0.00003358753,0.0003416755,0.004579886,0.9934944,0.0001271576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2208241,0.003684954,0.002705714,0.01336532,0.001360946,0.001820217,0.003822623,0.00067178,0.7517444],"genre_scores_gemma":[0.9445922,0.00005054827,0.0001016804,0.0008414325,0.001204346,0.00003178856,0.0001417517,0.00004651121,0.05298979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9333276,"threshold_uncertainty_score":0.9985862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04973060368493697,"score_gpt":0.2589606080506939,"score_spread":0.2092300043657569,"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."}}