{"id":"W4389616411","doi":"10.1016/j.jeconom.2023.105628","title":"Introduction to the Themed Issue on Climate Econometrics","year":2023,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Econometrics; Economics; Computer science; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004110604,0.0002661745,0.0007633343,0.005600587,0.000250726,0.0002667833,0.0007865659,0.0001467266,0.001624885],"category_scores_gemma":[0.001764184,0.0002407093,0.0003666708,0.004838805,0.00004973707,0.0004737891,0.0001870857,0.0004198058,0.01727797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608466,"about_ca_system_score_gemma":0.00002767249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002114973,"about_ca_topic_score_gemma":0.00001394736,"domain_scores_codex":[0.9970256,0.00002662089,0.001741666,0.0004450709,0.00007449366,0.0006865116],"domain_scores_gemma":[0.9969787,0.00054048,0.001440164,0.0006501813,0.0001050212,0.0002854603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003039521,0.0004545544,0.03625561,0.0001445938,0.0004790864,0.00003090574,0.002841109,0.02133189,0.00001229452,0.2272375,0.6769156,0.03399292],"study_design_scores_gemma":[0.0005577597,0.0004554061,0.01538463,0.00001107454,0.00001458126,0.00003148931,0.0004934163,0.001043645,0.00008618244,0.006850222,0.9747468,0.0003247685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944345,0.002188759,0.0007476556,0.1315836,0.01690737,0.0007929846,0.001117471,0.0001375898,0.05209001],"genre_scores_gemma":[0.9296595,0.02126489,0.001177852,0.01003489,0.03149966,0.00006908605,0.00008640742,0.0002361907,0.005971498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2978312,"threshold_uncertainty_score":0.9992878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2735848788635615,"score_gpt":0.2757903929796277,"score_spread":0.002205514116066121,"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."}}