{"id":"W2094244602","doi":"10.1080/14693062.2012.728790","title":"Agricultural commodities and climate change","year":2012,"lang":"en","type":"article","venue":"Climate Policy","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Natural resource economics; Agriculture; Economics; Business; Environmental resource management; Agricultural economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002592343,0.0003116475,0.000295191,0.00002891052,0.0004477046,0.0001649121,0.000210632,0.0001671923,0.0002984529],"category_scores_gemma":[0.00005855721,0.0001028434,0.00009841273,0.0004301704,0.0001139704,0.0007555984,0.000339999,0.0001690213,0.0002513781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006827473,"about_ca_system_score_gemma":0.00000207797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004115994,"about_ca_topic_score_gemma":0.0004038236,"domain_scores_codex":[0.9979076,0.00007919347,0.0002438821,0.0002523479,0.0002069324,0.001310032],"domain_scores_gemma":[0.9991254,0.0001398894,0.0001334978,0.00007916662,0.00005666945,0.0004653815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001148382,0.0008717049,0.4780155,0.0003640864,0.0000743016,0.00001300946,0.01152117,3.515164e-7,0.268535,0.06299932,0.0146117,0.162879],"study_design_scores_gemma":[0.0001525711,0.0001019193,0.9742897,0.00004711785,0.0000203892,0.0001061741,0.002783403,0.000003000047,0.0006909156,0.00007401618,0.02136215,0.0003686636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807554,0.001235623,1.959907e-8,0.007982729,0.0002138858,0.0003417617,0.0007146631,0.0002510576,0.008504877],"genre_scores_gemma":[0.9906171,0.003144542,0.00002843725,0.001951445,0.003820281,0.00007435061,0.0003026634,0.000002907825,0.00005828762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4962742,"threshold_uncertainty_score":0.4193833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151114337016574,"score_gpt":0.2816633701959049,"score_spread":0.2101522268257392,"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."}}