{"id":"W2314309243","doi":"10.5751/es-06509-190253","title":"Unintended outcomes of farmers&amp;#8217; adaptation to climate variability: deforestation and conservation in Calakmul and Maya biosphere reserves","year":2014,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; National Science Foundation","keywords":"Biosphere; Maya; Deforestation (computer science); Adaptation (eye); Geography; Agroforestry; Environmental resource management; Fishery; Ecology; Environmental science; Biology; Computer science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001821814,0.0001551937,0.0002309722,0.0004704543,0.001377397,0.00120663,0.0006721353,0.001015276,0.005454236],"category_scores_gemma":[0.007270476,0.0001600044,0.0003205482,0.00085416,0.001629732,0.001217994,0.00286625,0.00119823,0.0002366454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236159,"about_ca_system_score_gemma":0.001715438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04696521,"about_ca_topic_score_gemma":0.1232077,"domain_scores_codex":[0.9988517,0.0003042686,0.00005840084,0.0001168272,0.0001785672,0.0004902291],"domain_scores_gemma":[0.991159,0.002050256,0.00392555,0.0004668883,0.0005339316,0.001864255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006563091,0.0004554404,0.9303173,0.00008795198,0.0001914692,0.001421919,0.004554937,0.001391504,0.0005471784,0.003019097,0.007449205,0.04990764],"study_design_scores_gemma":[0.00001697241,0.0001360524,0.9873396,0.00007737073,0.00004467624,0.0001938785,0.005880991,0.0009076712,0.0002866207,0.002868001,0.002222825,0.00002522793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893087,0.0007844857,0.0001067249,0.005881014,0.00004576416,0.000009141221,0.0005327662,0.00000663472,0.003324791],"genre_scores_gemma":[0.9989468,0.000227093,0.00002974111,0.00023488,0.00001158608,0.000006419458,0.00009643511,0.000002416504,0.0004445506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04696521,"threshold_uncertainty_score":0.09338367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427972609316771,"score_gpt":0.2224295128256974,"score_spread":0.2081497867325297,"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."}}