{"id":"W4392787907","doi":"10.3386/w32169","title":"Demand Shocks as Technology Shocks","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"National Science Foundation","keywords":"Economics; Demand shock; Environmental science; Keynesian economics; Monetary 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009042593,0.0004240792,0.001292225,0.004566786,0.0001636855,0.0001702133,0.001248245,0.00135352,0.006658474],"category_scores_gemma":[0.001745977,0.0005219172,0.0004575176,0.0005110133,0.0006316523,0.0002394229,0.0005530327,0.001837742,0.01812452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003030257,"about_ca_system_score_gemma":0.002879769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789896,"about_ca_topic_score_gemma":0.000183657,"domain_scores_codex":[0.9956578,0.00006893802,0.001998098,0.001274413,0.000202594,0.0007981618],"domain_scores_gemma":[0.9969698,0.0007293486,0.0007428453,0.0007892576,0.000582313,0.0001864749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002938236,0.0000529652,0.001278165,0.0002489066,0.0004177499,0.00001199184,0.00007201463,0.0001226167,0.00001200453,0.9147057,0.08250397,0.0005445407],"study_design_scores_gemma":[0.0002229157,0.00009425274,0.00004620413,0.00009860802,0.000009475954,0.00006119832,0.000036756,0.0001187142,0.0001885668,0.7214558,0.2773508,0.0003167547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.016591,0.0117168,0.000008930509,0.003016958,0.001883107,0.0005361799,0.001130298,0.00007229375,0.9650444],"genre_scores_gemma":[0.8772821,0.003862148,0.00009416291,0.00008765518,0.001807387,0.0002058,0.0003551228,0.0001419873,0.1161636],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8606911,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2727974746631066,"score_gpt":0.4776209722020959,"score_spread":0.2048234975389893,"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."}}