{"id":"W2287709116","doi":"10.2139/ssrn.2311740","title":"Automatic Numeraire Corrections for Generic Hybrid Simulation","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Surrey Memorial Hospital","funders":"","keywords":"Numéraire; Statistical physics; Econometrics; Computer science; Mathematics; Mathematical economics; Physics","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":[0.001867889,0.0009123924,0.001358184,0.001186543,0.0007677144,0.001447305,0.001385577,0.001251287,0.00839335],"category_scores_gemma":[0.01200579,0.0005206443,0.001025693,0.0008107623,0.00144021,0.001256641,0.002643982,0.002041005,0.001353123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088446,"about_ca_system_score_gemma":0.0008454061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002623082,"about_ca_topic_score_gemma":0.002562044,"domain_scores_codex":[0.9988146,0.0005052179,0.00006240932,0.0001464455,0.0003794119,0.00009194158],"domain_scores_gemma":[0.9962713,0.00214251,0.0002534562,0.0006539644,0.0005467762,0.0001319726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002534546,0.00008899326,0.0005721343,0.0001654679,0.00006193126,0.0001830274,0.0001307998,0.6543992,0.006334037,0.2231608,0.002673025,0.1119771],"study_design_scores_gemma":[0.0000118681,0.00001332197,0.00005314956,0.000008905712,0.000005552177,0.0000161001,0.000004886643,0.9585508,0.001071779,0.03907429,0.001181279,0.000008040762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007443091,0.00005529049,0.9884998,0.00008527984,0.00009067445,0.00002908443,0.00002982934,0.0007570288,0.003009893],"genre_scores_gemma":[0.6101708,0.0001392092,0.3773293,0.0001402954,0.0001233595,0.0001355247,0.0001699669,0.0009160913,0.01087532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00839335,"threshold_uncertainty_score":0.02807856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564576336793064,"score_gpt":0.3802989314697041,"score_spread":0.3246531681017735,"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."}}