{"id":"W2304019096","doi":"","title":"Carbon Emissions and Stock Returns","year":2012,"lang":"en","type":"article","venue":"","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Emissions trading; Portfolio; Stock (firearms); Economics; Carbon market; Financial economics; Econometrics; Monetary economics; Greenhouse gas; Geography","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":[0.0008036584,0.0003880509,0.0003846669,0.0009761815,0.0002005776,0.001708791,0.0003239552,0.001055466,0.004979845],"category_scores_gemma":[0.009791649,0.0001564149,0.0004117706,0.001435782,0.0004424221,0.001295428,0.0004771143,0.001086988,0.001298091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672165,"about_ca_system_score_gemma":0.0001787927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004992045,"about_ca_topic_score_gemma":0.003674085,"domain_scores_codex":[0.9995522,0.00008225164,0.00004681099,0.00007650861,0.0001296605,0.0001125701],"domain_scores_gemma":[0.9872189,0.004459112,0.006485945,0.0004488596,0.0006039433,0.0007832642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004121521,0.0002513988,0.9716778,0.00005022742,0.0002738567,0.0004221031,0.0001197072,0.006531612,0.001001973,0.002578233,0.001901346,0.01477951],"study_design_scores_gemma":[0.00002146938,0.0001811686,0.9862723,0.00001674824,0.00007920673,0.0001841176,0.0001558379,0.00919422,0.0006807296,0.001753711,0.001431728,0.0000288149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944925,0.0008748212,0.0003280806,0.0003929194,0.00001672095,0.000008373007,0.0009823341,0.00003538661,0.002868899],"genre_scores_gemma":[0.9978162,0.0003130685,0.00004693407,0.00003387747,0.00004049104,0.000003377909,0.0008345712,0.000004915288,0.0009066181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004992045,"threshold_uncertainty_score":0.01665926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.135133699638408,"score_gpt":0.262061939968832,"score_spread":0.1269282403304241,"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."}}