{"id":"W3103178911","doi":"10.3386/w28050","title":"Local Public Finance Dynamics and Hurricane Shocks","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamics (music); Finance; Public finance; Economics; Environmental science; Physics; Macroeconomics","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":[0.0002639176,0.0001278317,0.0002484866,0.000691055,0.0004921584,0.001421306,0.0002206244,0.0003724979,0.005372026],"category_scores_gemma":[0.002343358,0.0001187933,0.0001991489,0.001819494,0.0003079192,0.0005661602,0.0006277406,0.0006903855,0.0004592749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657201,"about_ca_system_score_gemma":0.0008718697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1294851,"about_ca_topic_score_gemma":0.1466044,"domain_scores_codex":[0.9997519,0.00004224455,0.000009274915,0.0000256853,0.00004664982,0.0001243283],"domain_scores_gemma":[0.998725,0.000189585,0.0006594898,0.00004475468,0.0001823322,0.0001988533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001211582,0.0001734438,0.9641154,0.00002298069,0.00005394093,0.0004141437,0.0005813746,0.01431295,0.0002304087,0.004229451,0.007806299,0.007938538],"study_design_scores_gemma":[0.00001267943,0.00004982083,0.9785511,0.00001945275,0.00001918212,0.00009281722,0.00337235,0.01131421,0.0001747904,0.001262036,0.005116634,0.00001488074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919202,0.00009514126,0.00009283571,0.0007414321,0.000003953123,0.000007851056,0.001752016,0.00001262588,0.005373875],"genre_scores_gemma":[0.997371,0.0001015644,0.00001884237,0.00003791695,0.00000570216,0.000005104471,0.00104421,0.00000277762,0.001412942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1294851,"threshold_uncertainty_score":0.2574628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3233307084396974,"score_gpt":0.4281473146324288,"score_spread":0.1048166061927314,"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."}}