{"id":"W2288847547","doi":"10.1111/acv.12259","title":"Correlates of wildlife hunting in indigenous communities in the Pastaza province, Ecuadorian Amazonia","year":2016,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products; University of British Columbia","funders":"University of British Columbia; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación","keywords":"Amazon rainforest; Wildlife; Indigenous; Livelihood; Geography; Biodiversity; Socioeconomic status; Socioeconomics; Tobit model; Agroforestry; Environmental protection; Ecology; Agriculture; Demography; Biology; Population; Economics","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":[0.0008737543,0.00008935812,0.000116624,0.00006155941,0.0001050726,0.00001359146,0.0002657618,0.000085965,0.0001236517],"category_scores_gemma":[0.0001151178,0.00006128073,0.00002108104,0.0002848571,0.0002200794,0.0003951862,0.00007308323,0.0001280602,0.0000489009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008523217,"about_ca_system_score_gemma":0.00004417095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007955397,"about_ca_topic_score_gemma":0.05639602,"domain_scores_codex":[0.9989499,0.0002485037,0.0003279537,0.0001176434,0.0001589724,0.0001969691],"domain_scores_gemma":[0.9991685,0.0004650177,0.0001638291,0.0001756989,0.00001305603,0.00001386928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006274616,0.00006356934,0.993448,0.000005401403,0.000002437793,0.000003415931,0.002601411,0.00001490491,0.0006747433,0.0007133209,0.0003154545,0.002094627],"study_design_scores_gemma":[0.0003727009,0.0001327034,0.9961964,0.00005087719,0.000004018588,0.000003018181,0.001061981,0.000186088,0.00007486859,0.0007608819,0.001073366,0.00008309513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946246,0.00001128892,0.00002695209,0.004191068,0.00003718914,0.0002924305,0.000003457567,0.00001385491,0.0007991496],"genre_scores_gemma":[0.9977372,0.00001493632,0.0000987539,0.002027838,0.00001327322,0.00003200598,0.000008070692,0.000006090459,0.00006187437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04844063,"threshold_uncertainty_score":0.9986507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352791420266362,"score_gpt":0.2158427921171414,"score_spread":0.2023148779144778,"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."}}