{"id":"W4407397567","doi":"10.2139/ssrn.5134830","title":"Bouncing Back: How Mothballing Curbs Prices","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"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":[0.001190463,0.0003709175,0.0004084782,0.0006827058,0.001314961,0.006524826,0.0009041133,0.002951919,0.04209144],"category_scores_gemma":[0.01386426,0.0003336612,0.0004167292,0.0007395487,0.001224202,0.003718676,0.00138008,0.002247055,0.006094878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260568,"about_ca_system_score_gemma":0.001158416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01605248,"about_ca_topic_score_gemma":0.01368447,"domain_scores_codex":[0.9993982,0.0001350693,0.00002654867,0.0001262254,0.0001900605,0.0001239357],"domain_scores_gemma":[0.9980452,0.0007312415,0.0002955176,0.0001715712,0.0004257881,0.0003306277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002035198,0.0003669393,0.04823112,0.0005909488,0.0003053394,0.004131587,0.008753391,0.0178964,0.01808493,0.4124466,0.2411099,0.2460476],"study_design_scores_gemma":[0.0002446213,0.0004684371,0.07830901,0.0005113246,0.0003139442,0.001203072,0.01415756,0.0859072,0.007985002,0.4569703,0.3535903,0.0003392433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.473682,0.003726854,0.02442046,0.04468726,0.00457521,0.00007953176,0.0009085606,0.001364314,0.4465559],"genre_scores_gemma":[0.9456122,0.0008588438,0.002235462,0.002806042,0.0003856241,0.0000104985,0.0001673715,0.000479283,0.04744466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209144,"threshold_uncertainty_score":0.1408098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198500966252524,"score_gpt":0.2170784588991848,"score_spread":0.1850934492366595,"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."}}