{"id":"W3126108685","doi":"","title":"Specification Issues and Confidence Intervals in Unilateral Price Effects Analysis","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Confidence interval; Econometrics; Economics; Standard error; Statistical hypothesis testing; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2154525,0.001367062,0.002760036,0.003967746,0.001328053,0.005777846,0.005587577,0.004276243,0.00576461],"category_scores_gemma":[0.6510612,0.001293779,0.003071812,0.005176714,0.007212779,0.009349965,0.005309447,0.007604628,0.0006576941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444836,"about_ca_system_score_gemma":0.002056342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074817,"about_ca_topic_score_gemma":0.001501568,"domain_scores_codex":[0.7553979,0.2036768,0.009400647,0.01053042,0.01869231,0.0023019],"domain_scores_gemma":[0.1734744,0.7849037,0.01082057,0.02418363,0.006138915,0.0004787591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001864678,0.00009295472,0.006143727,0.000333236,0.0004086013,0.0003822159,0.0009185314,0.04552412,0.0002696383,0.8815764,0.001936407,0.06222767],"study_design_scores_gemma":[0.0001036286,0.0001273621,0.002373798,0.0002335753,0.0001473443,0.0002393453,0.0003280581,0.1460812,0.0009457883,0.8459812,0.003362161,0.00007645033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01520471,0.00111816,0.9768401,0.001842928,0.0001547394,0.0001115678,0.0002359681,0.0003009648,0.00419079],"genre_scores_gemma":[0.7406873,0.001093422,0.2523915,0.001362613,0.0006443452,0.001058855,0.0007225621,0.0003920504,0.001647449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2154525,"threshold_uncertainty_score":0.9674867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03620776222299404,"score_gpt":0.2315266784651218,"score_spread":0.1953189162421278,"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."}}