{"id":"W4409098874","doi":"10.1016/j.jeem.2025.103156","title":"Corrigendum to “Storms, early education and human capital” [J. Environ. Econ. Manag. 130 (2025) 103104]","year":2025,"lang":"en","type":"erratum","venue":"Journal of Environmental Economics and Management","topic":"Social and Demographic Issues in Germany","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Zoo; Center for Interuniversity Research and Analysis on Organizations; Université de Sherbrooke","funders":"","keywords":"Storm; Human capital; Economics; Capital (architecture); Natural resource economics; Geography; Economic growth; Meteorology; Archaeology","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":[0.002822316,0.0020227,0.002337382,0.003076958,0.004425913,0.005143031,0.002979703,0.01104029,0.1626132],"category_scores_gemma":[0.02060314,0.00103447,0.001979509,0.002565383,0.001609622,0.002777737,0.002372841,0.007936943,0.1020259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006412273,"about_ca_system_score_gemma":0.008435239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1128812,"about_ca_topic_score_gemma":0.1976017,"domain_scores_codex":[0.9966588,0.0003807808,0.00043808,0.000429867,0.001631087,0.0004614757],"domain_scores_gemma":[0.9839036,0.00273645,0.000647405,0.0005558516,0.01107538,0.001081274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004692796,0.000002648288,0.00001577683,0.00002067918,0.000001295562,0.00001943893,0.000003240425,0.000006969316,0.000006001639,0.0002228274,0.9985245,0.001171929],"study_design_scores_gemma":[0.00002428584,0.00001685456,0.001208815,0.0002497135,0.00001670714,0.0000497126,0.00007599456,0.0001236037,0.00008801746,0.001074094,0.9970301,0.00004216974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001272615,0.002822323,0.0002537744,0.2047221,0.7593751,0.00008836012,0.003015509,0.0004668853,0.0291286],"genre_scores_gemma":[0.003249067,0.006951596,0.000759094,0.1468022,0.1188755,0.0002729935,0.002859147,0.0003924465,0.7198379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1626132,"threshold_uncertainty_score":0.5439953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525847588315791,"score_gpt":0.3009935270707277,"score_spread":0.2857350511875698,"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."}}