{"id":"W2081413263","doi":"10.1111/1467-6419.00179","title":"Sinning in the Basement: What are the Rules? The Ten Commandments of Applied Econometrics","year":2002,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Honor; Ten Commandments; Econometrics; Economics; Econometric model; Bounding overwatch; Computer science; Law; Political science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01097513,0.0002201874,0.0007100416,0.000466783,0.0001839653,0.0002978982,0.001218228,0.00009073543,0.0010282],"category_scores_gemma":[0.0001345874,0.0001391869,0.0002905063,0.0002172695,0.0001518994,0.000746683,0.00008379606,0.0004455316,0.0003923247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411012,"about_ca_system_score_gemma":0.00001605696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004344551,"about_ca_topic_score_gemma":0.0001612637,"domain_scores_codex":[0.9972584,0.000230228,0.001843073,0.0002278658,0.00005084077,0.0003895465],"domain_scores_gemma":[0.9956607,0.001112419,0.002527748,0.0006158323,0.00001468633,0.00006862881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001280111,0.0006466244,0.8576333,0.00007345591,0.001013463,0.00001728732,0.01200925,0.04681097,0.000003335336,0.03200459,0.02501897,0.02464074],"study_design_scores_gemma":[0.003541509,0.0002680118,0.8854352,0.00009203068,0.00005697426,0.00008472084,0.008381678,0.03141717,0.00004492418,0.02629191,0.04377119,0.0006146376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733765,0.004574738,0.0001179818,0.004135461,0.0008644948,0.0002890463,0.0001125747,0.000003392639,0.01652583],"genre_scores_gemma":[0.9956847,0.002520302,0.0000408178,0.001286716,0.0003025783,0.000009259925,0.000004840795,0.00002170184,0.0001290528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02780194,"threshold_uncertainty_score":0.999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586733601870139,"score_gpt":0.2402446605621493,"score_spread":0.08157130037513544,"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."}}