{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001321989,0.00007087431,0.0001867068,0.00004582614,0.0002198837,0.000009382948,0.0001686632,0.00008869904,0.00001451249],"category_scores_gemma":[0.0003912848,0.00003799594,0.00004295821,0.0002277544,0.0002573629,0.00003095617,0.00001676282,0.0001641292,0.0000298107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001717964,"about_ca_system_score_gemma":0.00001225133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004181894,"about_ca_topic_score_gemma":0.00001273216,"domain_scores_codex":[0.9993563,0.00001200465,0.0003110255,0.0001644001,0.00002623027,0.0001299804],"domain_scores_gemma":[0.9986993,0.000766421,0.0002669809,0.0002135923,0.00003775517,0.00001595069],"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":[0.00006296304,0.00000800802,0.004809865,0.000004658574,0.00002308003,4.137795e-8,0.0003476278,0.00001558095,0.000005121099,0.9920848,0.00008217105,0.002556105],"study_design_scores_gemma":[0.0003460389,0.00006334715,0.300689,0.000004574916,0.00001591209,0.000003457383,0.00008077938,0.0002725445,0.00001236022,0.6961043,0.002355525,0.00005217595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3814965,0.003302242,0.5960996,0.007069199,0.0002011915,0.0006141315,0.00003259429,0.00001916341,0.0111654],"genre_scores_gemma":[0.9993398,0.00004660017,0.00002809172,0.00031475,0.00016957,0.00005292445,0.000004223974,0.00000665009,0.00003740416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6178433,"threshold_uncertainty_score":0.169119,"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."}}