{"id":"W4212850113","doi":"10.1093/yiel/yvab017","title":"4. Mexico","year":2020,"lang":"en","type":"article","venue":"Yearbook of International Environmental Law","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Phytosanitary certification; Political science; Government (linguistics); Environmental protection; Free trade agreement; Geography; Public administration; Economic growth; International trade; Business; Free trade; Law; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004043441,0.0004862287,0.00021874,0.0009376148,0.004425215,0.003448759,0.0007329416,0.002343956,0.07253172],"category_scores_gemma":[0.0006783915,0.0001574227,0.0003994156,0.001035508,0.0008029293,0.001777784,0.00156469,0.002069836,0.01129707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221613,"about_ca_system_score_gemma":0.003630439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07519903,"about_ca_topic_score_gemma":0.09340847,"domain_scores_codex":[0.9996268,0.00004467367,0.00001405914,0.00007786376,0.00009292891,0.0001436388],"domain_scores_gemma":[0.9998415,0.00001951185,0.00002004226,0.00002091795,0.00007215721,0.00002594493],"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":[0.00006164201,0.00004431879,0.002226852,0.0003293388,0.00000879026,0.0006364866,0.002538165,0.00008348361,0.0004604948,0.3193113,0.5932592,0.08103994],"study_design_scores_gemma":[0.000002808782,0.00000465662,0.001203665,0.00005471291,0.000002160873,0.00005985691,0.0003031025,0.000006304157,0.0000785475,0.0006927992,0.9975892,0.000002227581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004321861,0.00766892,0.0003667751,0.01251474,0.001958315,0.0000731488,0.001385991,0.000136282,0.971574],"genre_scores_gemma":[0.04629154,0.00759298,0.001154234,0.012631,0.0008076556,0.0002977803,0.001796199,0.0001103423,0.9293184],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9274683,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006557114747830215,"score_gpt":0.1903132465024794,"score_spread":0.1837561317546492,"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."}}