{"id":"W1787094202","doi":"10.1002/cjs.11213","title":"Approximation to the moments of ratios of cumulative sums","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Mathematics; Statistics; Sequence (biology); Random variable; Kernel (algebra); Term (time); Point (geometry); Regression analysis; Applied mathematics; Econometrics; Combinatorics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.009858375,0.0009745492,0.001345665,0.00261019,0.0003878492,0.002542919,0.002837832,0.001393902,0.00335348],"category_scores_gemma":[0.05484274,0.0008312517,0.001543032,0.001182354,0.002631292,0.003430849,0.001690568,0.00352551,0.001008164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711858,"about_ca_system_score_gemma":0.001186567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00229937,"about_ca_topic_score_gemma":0.001016717,"domain_scores_codex":[0.9968816,0.001624928,0.0001182628,0.0003479353,0.000806011,0.0002213212],"domain_scores_gemma":[0.978958,0.01604396,0.001283944,0.001329747,0.001952748,0.0004315389],"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":[0.0001499029,0.00005473279,0.001756177,0.0001746929,0.00008387637,0.0002604751,0.000213865,0.3456675,0.002808771,0.61721,0.002584169,0.02903572],"study_design_scores_gemma":[0.00001078214,0.00001747785,0.0002913906,0.00002433709,0.00001215273,0.00008315061,0.00001511186,0.920996,0.0005356334,0.07707639,0.0009207043,0.00001698551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0102369,0.0003546667,0.9873145,0.0002766658,0.00007202949,0.00001911311,0.00003420626,0.0002203979,0.001471501],"genre_scores_gemma":[0.6504744,0.001780478,0.3366681,0.0003890946,0.0005401129,0.0002720749,0.0003431292,0.0006532403,0.008879368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009858375,"threshold_uncertainty_score":0.05213666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977335690574228,"score_gpt":0.2154921833060936,"score_spread":0.1757188264003514,"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."}}