{"id":"W2160362386","doi":"10.1103/physrevd.80.072001","title":"Measurement of charm production cross sections in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><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>annihilation at energies between 3.97 and 4.26 GeV","year":2009,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation; U.S. Department of Energy; Science and Technology Facilities Council; National Science Foundation","keywords":"Charm (quantum number); Computer science; Algorithm; Computer graphics (images); Physics; Nuclear physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004391006,0.0005050833,0.0001719953,0.000662251,0.0005230572,0.0003673832,0.0004485488,0.0003074589,0.005963338],"category_scores_gemma":[0.00060523,0.0002731635,0.0001861377,0.0005537735,0.0002654765,0.0002582237,0.000574061,0.0003310232,0.0006984134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364908,"about_ca_system_score_gemma":0.000318848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807408,"about_ca_topic_score_gemma":0.003860999,"domain_scores_codex":[0.9997422,0.00003800873,0.000009022132,0.00005996853,0.00007961567,0.0000711651],"domain_scores_gemma":[0.9996535,0.0001320378,0.00008485476,0.00004843883,0.00004462777,0.00003659334],"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":[0.002808452,0.0002555852,0.1084479,0.0001797438,0.0001517497,0.001951917,0.0004626739,0.005075016,0.8500124,0.007861856,0.002471508,0.02032125],"study_design_scores_gemma":[0.00005009207,0.0002929396,0.05802464,0.00001326266,0.00003086931,0.0006990283,0.00008316673,0.006403691,0.9302818,0.000569236,0.00351641,0.0000348076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908425,0.0001031939,0.002676719,0.00005817056,0.00000601726,0.00001059557,0.001268202,0.0001090344,0.004925622],"genre_scores_gemma":[0.992681,0.00006596234,0.00220605,0.00002205672,0.000002513225,0.00001710451,0.001332469,0.00004170732,0.003631172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005963338,"threshold_uncertainty_score":0.01994932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294951358202141,"score_gpt":0.2960165942992276,"score_spread":0.2730670807172061,"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."}}