{"id":"W7097391271","doi":"","title":"Universidad de Navarra 1MODEL CHECKS USING RESIDUAL MARKED EMPIRICAL PROCESSES","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asymptotic analysis; Asymptotic distribution; Residual; Parametric statistics; Monte Carlo method; Statistical hypothesis testing; Central limit theorem; Null hypothesis; Weak convergence; Convergence (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003173672,0.0006056727,0.0009147683,0.002067203,0.0007291054,0.00247327,0.0008705337,0.0006949785,0.01293179],"category_scores_gemma":[0.01371405,0.0002519053,0.0005700896,0.002038794,0.000663092,0.0009646266,0.001804309,0.0009416097,0.002168255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870129,"about_ca_system_score_gemma":0.002958402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07198878,"about_ca_topic_score_gemma":0.05377789,"domain_scores_codex":[0.997556,0.000986146,0.0001043067,0.0003502717,0.0007927465,0.0002105732],"domain_scores_gemma":[0.995519,0.002225079,0.000554758,0.0005030448,0.001050153,0.000147852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001106448,0.0002365191,0.101963,0.001214544,0.0003995858,0.001994381,0.002089874,0.06492792,0.004459851,0.231443,0.03738672,0.5527782],"study_design_scores_gemma":[0.0002486042,0.0004630898,0.1797491,0.001841971,0.0002676811,0.001455136,0.0028897,0.1553978,0.00794427,0.2071068,0.4423692,0.0002666245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.555726,0.0268273,0.1747397,0.01778827,0.001637621,0.0003930035,0.0227615,0.003993216,0.1961333],"genre_scores_gemma":[0.8368429,0.011554,0.0845484,0.0005678308,0.0004740368,0.0003394331,0.008024008,0.0005554065,0.05709389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07198878,"threshold_uncertainty_score":0.1431395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09428840009841186,"score_gpt":0.2991885376238581,"score_spread":0.2049001375254462,"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."}}