{"id":"W4381297246","doi":"10.2139/ssrn.4463889","title":"Sectoral Shocks and Asset Prices","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Asset (computer security); Monetary economics; Economics; Business; Computer science","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":[0.0006691798,0.000171182,0.0002841032,0.0004682908,0.0001734933,0.002707138,0.0001701741,0.0009727042,0.01402919],"category_scores_gemma":[0.006005776,0.000211523,0.0002292065,0.001527155,0.000491426,0.001534747,0.0005033205,0.001125016,0.001304452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005988283,"about_ca_system_score_gemma":0.0003544526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002612867,"about_ca_topic_score_gemma":0.002188317,"domain_scores_codex":[0.9998667,0.00004383346,0.0000132169,0.00002134274,0.00002261126,0.00003219058],"domain_scores_gemma":[0.9973218,0.001523847,0.0006933785,0.0001318461,0.0001434667,0.0001856615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002547035,0.000607005,0.4828317,0.0004160902,0.0004420256,0.002409907,0.001106929,0.09687041,0.005283252,0.2843556,0.03185467,0.09127533],"study_design_scores_gemma":[0.000184389,0.0001730291,0.3868751,0.00009406242,0.0001404594,0.0005109305,0.001432741,0.1159406,0.00139919,0.4834648,0.009724312,0.00006052162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699467,0.002403802,0.003795407,0.005812083,0.0001371336,0.000009212896,0.001817024,0.0001094342,0.01596932],"genre_scores_gemma":[0.9964624,0.000860489,0.0001142916,0.00006971503,0.0000536541,0.000001951498,0.0002416961,0.00001188655,0.002183911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402919,"threshold_uncertainty_score":0.04693234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231832764371433,"score_gpt":0.2537248991468056,"score_spread":0.2214065715030912,"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."}}