{"id":"W4411125685","doi":"10.1016/j.irfa.2025.104384","title":"Empty pledges and powerless conventions: How transition climate risks are disrupting financial markets?","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Financial market; Climate change; Economics; Transition (genetics); Business; Natural resource economics; Finance; Ecology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00127785,0.0001621359,0.0007697956,0.0004720298,0.0001139073,0.00005897921,0.0002331385,0.00009192408,0.0003936113],"category_scores_gemma":[0.001746566,0.0001782924,0.0004334756,0.001152064,0.00007534235,0.0001899572,0.00007992156,0.0001375492,0.000004507835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006383934,"about_ca_system_score_gemma":0.0000402156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001593184,"about_ca_topic_score_gemma":0.0002485478,"domain_scores_codex":[0.9984323,0.00004664928,0.0008540377,0.0004079884,0.00008355745,0.0001754692],"domain_scores_gemma":[0.9986138,0.0000794417,0.0007222756,0.0002326735,0.0003099432,0.00004186826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008301328,0.0002151256,0.7815305,0.003592723,0.0006772036,0.000006678586,0.00007851882,0.000009564103,0.000003406331,0.1846022,0.001497422,0.02770363],"study_design_scores_gemma":[0.0003262073,0.00001321582,0.9467676,0.001737665,0.0003368273,8.113046e-7,0.00002326926,0.02413944,0.000004589533,0.01086124,0.01558177,0.000207399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7294632,0.1157876,0.1068931,0.01510351,0.00180234,0.001026503,0.006307069,0.00005884929,0.0235579],"genre_scores_gemma":[0.9525694,0.04584324,0.0003711235,0.0005671144,0.00005669487,0.00003723625,0.0001678186,0.000006314899,0.0003811126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2231062,"threshold_uncertainty_score":0.7270553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148215589672284,"score_gpt":0.2882056123611606,"score_spread":0.2667234564644377,"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."}}