{"id":"W7029642647","doi":"","title":"Kshort and Lambda production in pp interactions at sqrt(s) = 0.9 and 7 TeV measured with the ATLAS detector at the LHC","year":2019,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Office of Science; Bundesministerium für Wissenschaft und Forschung; Conselho Nacional de Desenvolvimento Científico e Tecnológico; CERN; Agencia Nacional de Promoción Científica y Tecnológica; Fundação de Amparo à Pesquisa do Estado de São Paulo; U.S. Department of Energy","keywords":"Large Hadron Collider; Lambda; Atlas detector; Atlas (anatomy); Detector","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":[0.0008646449,0.0008862401,0.0004836056,0.001389252,0.001161065,0.001533225,0.0005660087,0.0006606552,0.01324128],"category_scores_gemma":[0.0006521496,0.0005995667,0.0006202804,0.001016133,0.0006019335,0.0006877299,0.001081961,0.0006194418,0.00287163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006451104,"about_ca_system_score_gemma":0.0002540428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593259,"about_ca_topic_score_gemma":0.002299185,"domain_scores_codex":[0.9994479,0.00009429466,0.00001439141,0.0001663055,0.0001086557,0.0001684082],"domain_scores_gemma":[0.999316,0.0002835774,0.0001298982,0.00006639468,0.00006852083,0.000135674],"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":[0.02240818,0.001057815,0.2403235,0.002287363,0.001234786,0.008593813,0.004228575,0.009856951,0.5735151,0.05707499,0.03337239,0.04604647],"study_design_scores_gemma":[0.0007781939,0.001218585,0.5564781,0.0001492115,0.0005659208,0.003207642,0.001282701,0.02023417,0.3815762,0.0110307,0.0230909,0.0003877834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383369,0.001178478,0.003439449,0.0002011531,0.00007414463,0.00003103823,0.005676494,0.0009228035,0.05013952],"genre_scores_gemma":[0.9916403,0.0001455479,0.0003928478,0.00005137158,0.00002946119,0.00002068267,0.002421422,0.0001164597,0.005181861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324128,"threshold_uncertainty_score":0.0442965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610414657869946,"score_gpt":0.2257665777629477,"score_spread":0.2096624311842483,"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."}}