{"id":"W7038573905","doi":"","title":"Inclusive Jet Cross Sections and Dijet Correlations in D* Photoproduction at HERA","year":2005,"lang":"en","type":"article","venue":"DIAL (Catholic University of Leuven)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsches Elektronen-Synchrotron; Natural Sciences and Engineering Research Council of Canada; Lomonosov Moscow State University; Strong; Bundesministerium für Bildung und Forschung; Belgian Federal Science Policy Office; High Energy Physics; Fonds De La Recherche Scientifique - FNRS; Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; National Science Foundation","keywords":"HERA; ZEUS (particle detector); Parton; Jet (fluid); Monte Carlo method; Quantum chromodynamics; Charm (quantum number); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008332212,0.0003201007,0.000132608,0.001147967,0.0003720777,0.000840277,0.0003006026,0.0002414042,0.003561991],"category_scores_gemma":[0.001732041,0.0002757514,0.0002043562,0.001279453,0.0002369272,0.0004123871,0.000524176,0.0002450896,0.0004809462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015685,"about_ca_system_score_gemma":0.0001766885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003558013,"about_ca_topic_score_gemma":0.004066052,"domain_scores_codex":[0.9998088,0.00005341866,0.00001280902,0.00004142327,0.00005946168,0.00002407472],"domain_scores_gemma":[0.9987883,0.0008760476,0.0001427925,0.00006170743,0.00007646501,0.00005472083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004166984,0.0003201194,0.6904634,0.0002620507,0.0003629674,0.004799308,0.0006920681,0.1096407,0.1068897,0.03159934,0.004705457,0.0460979],"study_design_scores_gemma":[0.0001925189,0.0004588616,0.7946651,0.00005949472,0.0001125472,0.001568348,0.0003562973,0.09112122,0.09339839,0.01302808,0.004901259,0.0001379576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885486,0.0003859546,0.001949591,0.0001833677,0.000007636554,0.000006127015,0.001596639,0.00009891303,0.007223094],"genre_scores_gemma":[0.9971672,0.000148411,0.0004452762,0.00002696456,0.000002895424,0.000009668298,0.0007205386,0.00001822548,0.001460945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003561991,"threshold_uncertainty_score":0.0119161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735587570652546,"score_gpt":0.1953003393377886,"score_spread":0.1779444636312631,"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."}}