{"id":"W16040902","doi":"10.1148/radiol.2362041095","title":"On the Relation Between The Lévy Measure And The Jump Function Of A Lévy Process","year":2007,"lang":"en","type":"article","venue":"Radiology","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Lévy process; Measure (data warehouse); Jump; Mathematics; Simple (philosophy); Function (biology); Relation (database); Point process; Mathematical analysis; Applied mathematics; Statistics; Computer science; Physics","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":[0.004144899,0.0008603127,0.001025432,0.003764307,0.000622912,0.001988178,0.001207302,0.001945466,0.004479813],"category_scores_gemma":[0.03717612,0.0005136012,0.0006762974,0.001692613,0.00502809,0.0043388,0.001753658,0.002797997,0.0004094162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104368,"about_ca_system_score_gemma":0.0008055504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193143,"about_ca_topic_score_gemma":0.001093801,"domain_scores_codex":[0.9992755,0.0003100493,0.00004509365,0.0001250394,0.000154738,0.00008947627],"domain_scores_gemma":[0.9638854,0.03038439,0.002570053,0.0005945266,0.001459579,0.001105949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002515936,0.0001363689,0.009173302,0.0001929966,0.0001191832,0.0007559657,0.0003735408,0.07483585,0.01019826,0.8791011,0.001907737,0.02295403],"study_design_scores_gemma":[0.00004583217,0.0001377256,0.007876347,0.00008539711,0.00005490239,0.0006578685,0.0001412377,0.5606717,0.001523383,0.4273435,0.001318117,0.000143977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4512214,0.005055197,0.5208805,0.004357119,0.0003656824,0.00005743958,0.0002474048,0.0001810598,0.01763435],"genre_scores_gemma":[0.9759489,0.003511816,0.01624107,0.0003543007,0.0005806312,0.0000496747,0.0001828932,0.00008814775,0.003042632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004479813,"threshold_uncertainty_score":0.02192056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568850198640021,"score_gpt":0.2209831679770464,"score_spread":0.1952946659906462,"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."}}