{"id":"W2170853760","doi":"10.1016/j.worlddev.2014.03.006","title":"Environmental Income and Rural Livelihoods: A Global-Comparative Analysis","year":2014,"lang":"en","type":"article","venue":"World Development","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":1090,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Danish International Development Agency; Centre for International Forestry Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Economic and Social Research Council; United States Agency for International Development","keywords":"Livelihood; Rural development; Geography; Economics; Development economics; Natural resource economics; Agriculture","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002001754,0.0001567802,0.0001876571,0.00009222411,0.0002954318,0.0000447194,0.0001682485,0.00002277988,0.001399761],"category_scores_gemma":[0.000003269501,0.0001407575,0.00005150475,0.0005113355,0.0001473028,0.00007365616,0.0005405446,0.00004900343,0.0006211748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003294802,"about_ca_system_score_gemma":0.000005071922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001643172,"about_ca_topic_score_gemma":0.001176408,"domain_scores_codex":[0.9989204,0.00005411352,0.0001952723,0.0002918749,0.0003197336,0.0002185932],"domain_scores_gemma":[0.9996162,0.00002289928,0.00007232006,0.0001627606,0.000002334914,0.0001235059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008196077,0.00004695956,0.9867922,0.000002538756,0.0001441804,0.000001280336,0.001609453,0.0001768034,0.0000272624,0.00001660599,0.0002637985,0.01091073],"study_design_scores_gemma":[0.0002221941,0.00001203527,0.906597,0.000004126407,0.00008473747,6.654714e-7,0.000514356,0.0005353798,0.00004377544,0.00006023162,0.09174103,0.0001844858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822125,0.00003624753,0.0007361509,0.0002722232,0.00004061103,0.0001507404,0.000003659979,0.00003169404,0.01651614],"genre_scores_gemma":[0.9941787,0.000008694359,0.002976452,0.0003911546,0.0000114784,0.000009900895,0.00001746212,0.000002369537,0.002403761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09147722,"threshold_uncertainty_score":0.9995131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008103160112385979,"score_gpt":0.2006234124696792,"score_spread":0.1925202523572932,"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."}}