{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008853695,0.0001066862,0.0001730356,0.0006219092,0.0004472986,0.001476418,0.0002116094,0.0006199536,0.006421792],"category_scores_gemma":[0.006332971,0.0001006765,0.0001985112,0.001182654,0.0003268503,0.0005570474,0.0005575093,0.001153534,0.0006106956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171244,"about_ca_system_score_gemma":0.0004778816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675981,"about_ca_topic_score_gemma":0.02511583,"domain_scores_codex":[0.9997621,0.00007479592,0.00001645683,0.00002692296,0.00005735234,0.00006240921],"domain_scores_gemma":[0.9948171,0.00131758,0.002148929,0.0001941644,0.0006660448,0.0008562402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005897715,0.0002447872,0.9615608,0.00003265358,0.0001103051,0.0002262729,0.0004026468,0.002884982,0.000255436,0.01125782,0.01030533,0.01212925],"study_design_scores_gemma":[0.00002896407,0.00006634756,0.9779853,0.00002187088,0.00008336423,0.0001226406,0.0008826756,0.004643502,0.0002020625,0.00854838,0.007394698,0.00002019669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853367,0.0006628647,0.0002470419,0.004215726,0.00008080382,0.000003692206,0.0007744398,0.00002057064,0.008658191],"genre_scores_gemma":[0.9966568,0.0003189015,0.00003635146,0.00009454386,0.00009916554,0.000001475686,0.0002953477,0.000004034777,0.002493349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01675981,"threshold_uncertainty_score":0.03332454,"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."}}