{"id":"W4413236941","doi":"10.1016/j.frl.2025.108144","title":"Climate risk and American depositary receipts","year":2025,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Business; Economics; Financial 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":[],"consensus_categories":[],"category_scores_codex":[0.001815335,0.000129262,0.0003344211,0.000478415,0.0004038457,0.0001465175,0.0002668231,0.00005320524,0.00002493921],"category_scores_gemma":[0.0002505143,0.0001595319,0.00006203811,0.0006005808,0.0003999603,0.0001972423,0.0002085432,0.0004423894,0.0002902624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563267,"about_ca_system_score_gemma":0.00001893231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056231,"about_ca_topic_score_gemma":0.0001181553,"domain_scores_codex":[0.9982865,0.00006990767,0.0003757877,0.0005239871,0.00003973995,0.0007040737],"domain_scores_gemma":[0.9991525,0.000216875,0.0001398757,0.0004025311,0.00002468155,0.00006346758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001270945,0.00006483226,0.719904,0.00009548268,0.00005541464,0.00002537618,0.0003071965,0.00009675348,0.0001429784,0.04398504,0.0263824,0.2088134],"study_design_scores_gemma":[0.0008881163,0.0001346387,0.6269697,0.0001175531,0.000008024618,0.000005161866,0.0001482397,0.005894219,0.0002276504,0.0189991,0.34604,0.0005675792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478117,0.0009321111,0.0009464026,0.006419585,0.000245655,0.0001866159,0.00006280722,0.00003878093,0.04335636],"genre_scores_gemma":[0.9829724,0.01400399,0.001748073,0.0008568405,0.00007748824,0.0000409575,0.000007231346,0.00002208022,0.0002709785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3196576,"threshold_uncertainty_score":0.6505523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936579000959114,"score_gpt":0.2791204988524571,"score_spread":0.249754708842866,"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."}}