{"id":"W3122827249","doi":"10.2139/ssrn.3625803","title":"Distracted Analysts: Evidence from Climatic Disasters","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Salience (neuroscience); Earnings; Spillover effect; Affect (linguistics); Intermediary; Business; Climate change; Economics; Finance; Psychology","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":[0.001954637,0.0002578493,0.0002309736,0.001765581,0.001005317,0.002669374,0.0009515248,0.002334231,0.004640925],"category_scores_gemma":[0.03846594,0.0002496394,0.0001729392,0.002944485,0.002022053,0.002032549,0.001610312,0.002368019,0.0008414772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349391,"about_ca_system_score_gemma":0.0007826153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996089,"about_ca_topic_score_gemma":0.02045508,"domain_scores_codex":[0.9986702,0.0004288645,0.00008481092,0.0001374429,0.0004031432,0.0002755618],"domain_scores_gemma":[0.9073131,0.03408343,0.04617554,0.002996237,0.005473746,0.003957881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002041714,0.000761535,0.9424622,0.0001841236,0.0002977475,0.001725031,0.01478723,0.001624697,0.0006531547,0.00334712,0.01351951,0.01859597],"study_design_scores_gemma":[0.000148309,0.0002585156,0.9481426,0.0001460715,0.0001171546,0.000468884,0.03319205,0.001278903,0.0007438156,0.003444672,0.01200823,0.00005071876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989298,0.0007365919,0.0001110824,0.003571152,0.00004624513,0.00001022013,0.00046838,0.000006892137,0.00575147],"genre_scores_gemma":[0.9978746,0.0007606839,0.00002521819,0.0004123421,0.00007095775,0.000007151056,0.0003478559,0.000006078256,0.0004950731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01996089,"threshold_uncertainty_score":0.03968936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382521974426702,"score_gpt":0.2236058909325242,"score_spread":0.185353693489854,"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."}}