{"id":"W2897409201","doi":"10.1371/journal.pone.0205714","title":"Multiple non-climatic drivers of food insecurity reinforce climate change maladaptation trajectories among Peruvian Indigenous Shawi in the Amazon","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Indigenous Health and Education","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McGill University","funders":"Canadian Institutes of Health Research; International Development Research Centre","keywords":"Maladaptation; Amazon rainforest; Food insecurity; Indigenous; Climate change; Geography; Ecology; Physical geography; Environmental science; Biology; Food security; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001156964,0.0001664372,0.0003286696,0.000222582,0.001240171,0.00001102263,0.0002546173,0.0002286484,0.0001051979],"category_scores_gemma":[0.0002466766,0.0001389182,0.00004152206,0.0004562717,0.0001374465,0.0003082434,0.00003555263,0.0005120282,0.0001537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002578447,"about_ca_system_score_gemma":0.0004097074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006269389,"about_ca_topic_score_gemma":0.03779984,"domain_scores_codex":[0.9974656,0.0003733787,0.0006781454,0.0002197819,0.000424193,0.0008389017],"domain_scores_gemma":[0.9983575,0.000392151,0.0004588676,0.0003785747,0.0003025751,0.0001103229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007678978,0.0004353942,0.4718174,0.001482374,0.00001839876,5.855832e-7,0.5256253,4.667328e-7,0.0002035597,0.0001588134,0.00001464805,0.0001661738],"study_design_scores_gemma":[0.000835853,0.00101476,0.940321,0.0009241382,0.00005878452,3.44391e-7,0.05486126,0.0008553321,0.0007444145,0.0001798892,0.00002786221,0.0001763901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993724,0.00004694247,0.00001487889,0.000241362,0.000285549,0.003513894,0.00005623759,0.00004632807,0.002070787],"genre_scores_gemma":[0.9974695,0.0001869011,0.0003836316,0.0005401438,0.0005907307,0.0006618202,0.0001003559,0.00002662339,0.00004028371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4707641,"threshold_uncertainty_score":0.9797578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292716143123205,"score_gpt":0.3392859640767623,"score_spread":0.2100143497644418,"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."}}