{"id":"W3105528558","doi":"10.1007/jhep09%282014%29046","title":"Toward multi-differential cross sections: measuring two angularities on a single jet","year":2014,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Observable; Phase space; Interpolation (computer graphics); Factorization; Weierstrass factorization theorem; Jet (fluid); Physics; Cross section (physics); Differential (mechanical device); Monte Carlo method; Mathematical analysis; Mathematics; Quantum mechanics; Classical mechanics; Algorithm","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":[0.001459607,0.0009466598,0.0005792538,0.002255831,0.0006245816,0.001951787,0.001263176,0.001279668,0.003209854],"category_scores_gemma":[0.001763608,0.0009372784,0.0005081827,0.001433211,0.0008396576,0.001820241,0.001985172,0.001644316,0.0008522589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621825,"about_ca_system_score_gemma":0.000415745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006624448,"about_ca_topic_score_gemma":0.001750075,"domain_scores_codex":[0.9990345,0.000133671,0.00003009898,0.0003991662,0.0002454023,0.000157054],"domain_scores_gemma":[0.9983764,0.0005535324,0.0003327038,0.0002890065,0.0002472318,0.0002011909],"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":[0.0008405637,0.0002546637,0.04098564,0.00025534,0.0002022876,0.0003633827,0.0003808145,0.002466459,0.9059366,0.005776697,0.0007879368,0.04174963],"study_design_scores_gemma":[0.0001707634,0.0006838767,0.08114456,0.0001155523,0.0003759639,0.001955928,0.0004463693,0.04195586,0.8555137,0.007810073,0.009593449,0.0002340527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7593727,0.002433203,0.2145895,0.0006676278,0.000251185,0.0001693668,0.001594884,0.001491389,0.01943015],"genre_scores_gemma":[0.9286941,0.0008474374,0.06686281,0.0004536754,0.00007849363,0.00007678685,0.0003636008,0.0001579017,0.002465217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003209854,"threshold_uncertainty_score":0.01073807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245028428663651,"score_gpt":0.2565930927892764,"score_spread":0.2320902499229113,"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."}}