{"id":"W4401002063","doi":"10.1080/00036846.2024.2382387","title":"On measuring climate risks using attention search and testing the clean energy-climate hypothesis","year":2024,"lang":"en","type":"article","venue":"Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Royal Roads University","keywords":"Economics; Climate change; Econometrics; Natural resource economics; Clean energy; Energy (signal processing); Environmental science; Environmental economics; Statistics; Ecology; Mathematics","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":[0.001613517,0.0001988914,0.0002924416,0.0001701045,0.0003704433,0.0004162096,0.0001789782,0.00009977339,0.00005252797],"category_scores_gemma":[0.00003976123,0.0001992412,0.00008719828,0.0001510396,0.0000726781,0.0001359934,0.0001654838,0.000215362,0.00006490158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779505,"about_ca_system_score_gemma":0.00001549142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003895357,"about_ca_topic_score_gemma":0.00009714493,"domain_scores_codex":[0.9983938,0.00001660308,0.0005308887,0.0005916607,0.00002524808,0.0004417874],"domain_scores_gemma":[0.9990264,0.0004011581,0.0001269767,0.0003604245,0.00001156549,0.00007344413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005587613,0.00004115054,0.05453543,0.0001882924,0.0001172026,0.000002005431,0.0001430284,0.00375047,0.0001247735,0.8487213,0.00001617498,0.09230424],"study_design_scores_gemma":[0.000177803,0.00001936943,0.032961,0.00003436042,0.00001548186,0.000005542815,0.00007739972,0.9010404,0.00006280182,0.06491653,0.0004198436,0.0002695041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685357,0.0002344747,0.001388835,0.000114646,0.0002392872,0.0001603169,0.0001424911,0.00006841836,0.02911582],"genre_scores_gemma":[0.9980987,0.0007114598,0.000826354,0.0001379325,0.000113507,0.00001915769,0.000007981798,0.00005465885,0.00003019112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8972899,"threshold_uncertainty_score":0.8124822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1381538862218629,"score_gpt":0.2459736248489862,"score_spread":0.1078197386271233,"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."}}