{"id":"W2939179135","doi":"10.3390/su11082349","title":"Economic Impacts of a Low Carbon Economy on Global Agriculture: The Bumpy Road to Paris","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Agriculture; Natural resource economics; Carbon tax; Climate change mitigation; Climate change; Global warming; Economics; Environmental science; Low-carbon economy; Economic impact analysis; Carbon sequestration; Agricultural economics; Carbon dioxide; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007771933,0.0002580469,0.0006064892,0.00009356227,0.0000747942,0.00007763411,0.0004385922,0.0001562479,0.0003665114],"category_scores_gemma":[0.0002102082,0.0002260593,0.0002420822,0.000187912,0.00008666967,0.0001598706,0.0001765304,0.0001593958,0.000647218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002732404,"about_ca_system_score_gemma":0.0001318016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007067446,"about_ca_topic_score_gemma":0.0008250359,"domain_scores_codex":[0.9979892,0.00003041367,0.0007702978,0.0006120591,0.00002282933,0.000575144],"domain_scores_gemma":[0.9983138,0.00009269953,0.0003987559,0.0009438921,0.00007793903,0.0001729473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001976752,0.0002069044,0.7450173,0.0003407397,0.00009451224,0.0000012539,0.00136809,0.002517848,0.000004740183,0.2474034,0.002153754,0.0006938326],"study_design_scores_gemma":[0.001590239,0.0006952786,0.7000712,0.00004027601,0.00001860031,0.000006886012,0.002494431,0.002237424,0.0005289064,0.2371928,0.05411426,0.001009667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501376,0.0002251738,0.000006191183,0.006054228,0.0004090089,0.000974496,0.0003789157,0.00002849098,0.04178592],"genre_scores_gemma":[0.9985482,0.00004501933,0.00001305888,0.000778284,0.0001637018,0.00006186936,0.00001539289,0.00001754437,0.0003569632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0519605,"threshold_uncertainty_score":0.9995446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137644519054637,"score_gpt":0.2437517759871635,"score_spread":0.2299873240816998,"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."}}