{"id":"W4232036911","doi":"10.1017/cbo9780511755330","title":"Measure Theory and Filtering","year":2004,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Kalman filter; Measure (data warehouse); Stochastic calculus; Calculus (dental); Computer science; Conditional expectation; Probability theory; Mathematical finance; Conditional probability distribution; Mathematical economics; Mathematics; Artificial intelligence; Econometrics; Data mining; Statistics; Finance; Mathematical analysis; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007589372,0.001059963,0.001186208,0.001684984,0.001033243,0.003721341,0.0007316895,0.001674994,0.02685376],"category_scores_gemma":[0.003238973,0.0004026666,0.0007593652,0.001926329,0.002301586,0.00333915,0.001063411,0.002419187,0.008705033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653489,"about_ca_system_score_gemma":0.00167882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327529,"about_ca_topic_score_gemma":0.002253113,"domain_scores_codex":[0.9989871,0.0001575135,0.00005143776,0.0002120057,0.0005322372,0.00005962135],"domain_scores_gemma":[0.9993304,0.0003230403,0.00003504755,0.00007185889,0.0001998023,0.00003993596],"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":[0.00001352121,0.00001216762,0.000132252,0.0002215407,0.00002274465,0.00007744277,0.0002716667,0.002011722,0.0003253067,0.7472728,0.1362337,0.113405],"study_design_scores_gemma":[0.000005762551,0.000021457,0.0003309874,0.00018474,0.000008742331,0.0001966396,0.00006795616,0.002401653,0.0001788516,0.3156293,0.6809579,0.00001610074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003582097,0.1623543,0.1540566,0.02008486,0.01326215,0.0000958403,0.001169649,0.0009022716,0.6444923],"genre_scores_gemma":[0.08654428,0.1047337,0.04556217,0.005624626,0.009110453,0.0002576641,0.001442652,0.0006288361,0.7460956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02685376,"threshold_uncertainty_score":0.08983481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826206817968754,"score_gpt":0.2263970894094844,"score_spread":0.2081350212297968,"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."}}