{"id":"W3124379194","doi":"","title":"The exact distribution of the Hansen-Jagannathan bound","year":2008,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Normality; Constraint (computer-aided design); Applied mathematics; Simple (philosophy); Population; Multivariate normal distribution; Multivariate statistics; Interpretation (philosophy); Variance (accounting); Sample (material); Econometrics; Statistics; Computer science; 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":[0.009429735,0.0008231155,0.001588702,0.002442573,0.0007980851,0.004142385,0.002189755,0.002295457,0.009305734],"category_scores_gemma":[0.07765155,0.0007216684,0.001009949,0.00144518,0.005100634,0.008522948,0.002471493,0.004584314,0.001076571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925838,"about_ca_system_score_gemma":0.001068731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397151,"about_ca_topic_score_gemma":0.0007149271,"domain_scores_codex":[0.9966868,0.001317985,0.0001433661,0.0007382141,0.0007813274,0.0003323769],"domain_scores_gemma":[0.9559908,0.03708626,0.002098305,0.00255045,0.001752516,0.0005216379],"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":[0.00005802327,0.000024787,0.001419023,0.0001215935,0.00003653714,0.0001164697,0.0002152132,0.03548706,0.0007043722,0.9430727,0.001645211,0.01709908],"study_design_scores_gemma":[0.00002378154,0.0000400271,0.002433764,0.0001458599,0.00002182173,0.0002081596,0.0001099484,0.1584159,0.001706004,0.8332602,0.00355222,0.0000822466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0617234,0.003490671,0.9058237,0.002390171,0.000199248,0.00007597271,0.0004640624,0.0002914229,0.02554133],"genre_scores_gemma":[0.9141513,0.003924908,0.07513509,0.0005088942,0.0004639149,0.0002818478,0.0005524147,0.0002946296,0.004687024],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009429735,"threshold_uncertainty_score":0.04986984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04872483479092374,"score_gpt":0.2128697774368408,"score_spread":0.1641449426459171,"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."}}