{"id":"W2049298666","doi":"10.1007/s12231-008-9010-2","title":"Distribution of Agrobiodiversity in Home Gardens along the Corrientes River, Peruvian Amazon","year":2008,"lang":"en","type":"article","venue":"Economic Botany","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Geography; Forest gardening; Agricultural biodiversity; Amazon rainforest; Distribution (mathematics); Socioeconomics; Biodiversity; Diversity (politics); Socioeconomic status; Agroforestry; Ecology; Agriculture; Archaeology; Population; Demography; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001484259,0.00008618508,0.0001461174,0.000003444291,0.000174649,0.000009842573,0.0001943664,0.00005874439,0.000294824],"category_scores_gemma":[0.00001938645,0.00002975885,0.00009512707,0.00007552731,0.0001994804,0.00006551872,0.00006429866,0.00008624778,0.00004672404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470203,"about_ca_system_score_gemma":0.000009663418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154087,"about_ca_topic_score_gemma":0.003994977,"domain_scores_codex":[0.9993538,0.00005459673,0.0001767844,0.0001875985,0.00004908346,0.0001781153],"domain_scores_gemma":[0.9997089,0.00008789695,0.00007514858,0.00005859856,0.00002868977,0.00004080334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002493378,0.00006691676,0.9880242,0.000002351918,0.000007177882,0.000005908707,0.0004388484,0.000008553757,0.001072489,0.0001135466,0.009654704,0.0005803196],"study_design_scores_gemma":[0.0001059824,0.00005946191,0.9869268,0.000003011883,0.000004363382,0.000007238182,0.0007425772,0.00001636261,0.000174947,0.0001485287,0.01172857,0.00008215108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983259,0.0001242245,4.212535e-7,0.0006428071,0.0001000168,0.0001591256,0.0001355514,0.00001554054,0.0004964513],"genre_scores_gemma":[0.9993403,0.00004916568,0.000002552216,0.00003518751,0.00006400343,0.000002774034,0.00004120014,2.386107e-7,0.0004645534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002454107,"threshold_uncertainty_score":0.3228116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036803110741971,"score_gpt":0.1637956626733445,"score_spread":0.1534276315659248,"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."}}