{"id":"W2952728784","doi":"10.48550/arxiv.1702.00376","title":"Correlated Multivariate Poisson Processes and Extreme Measures","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Poisson distribution; Joint probability distribution; Zero-inflated model; Poisson regression; Compound Poisson distribution; Multivariate analysis; Econometrics; Multivariate normal distribution; Connection (principal bundle); Computer science; Statistics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002768077,0.0007874427,0.001018736,0.001557199,0.0007427354,0.001993127,0.001152809,0.001963026,0.00336877],"category_scores_gemma":[0.01321426,0.0004549046,0.001084105,0.002042946,0.002977666,0.003107376,0.002052215,0.002866523,0.0003627332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013458,"about_ca_system_score_gemma":0.0009586863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176425,"about_ca_topic_score_gemma":0.0006752965,"domain_scores_codex":[0.9980566,0.0009229549,0.00007596883,0.000309316,0.0004918883,0.000143215],"domain_scores_gemma":[0.9932548,0.00388153,0.001461584,0.000383569,0.0006500658,0.0003684994],"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":[0.000009434166,0.00001158831,0.0006827762,0.00002704108,0.00001962899,0.0001163628,0.00008424794,0.02175765,0.000292176,0.9738269,0.000446721,0.00272553],"study_design_scores_gemma":[0.000008886408,0.00001286564,0.0004379606,0.00001557633,0.000007557774,0.0001030934,0.0000288507,0.08856342,0.0001185483,0.9094843,0.001206875,0.00001195279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07116885,0.001924187,0.9111264,0.00184604,0.0001754732,0.00004149138,0.0001834303,0.0001172946,0.01341678],"genre_scores_gemma":[0.9214146,0.003100298,0.06449337,0.0005357207,0.0006937825,0.0001794695,0.0003121629,0.00007152404,0.009199095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00336877,"threshold_uncertainty_score":0.0146392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.433817621989973,"score_gpt":0.2871903815562413,"score_spread":0.1466272404337317,"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."}}