{"id":"W2180744143","doi":"10.1371/journal.pone.0125531","title":"Effects of Community-Based Natural Resource Management on Household Welfare in Namibia","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Attendance; Natural resource; Natural resource management; Welfare; Socioeconomics; Environmental resource management; Geography; Impact evaluation; Environmental planning; Economic growth; Environmental health; Ecology; Economics; Population; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009414008,0.0002117844,0.0002016772,0.0003462349,0.001035962,0.0006970659,0.0004635889,0.0002633616,0.002976188],"category_scores_gemma":[0.00201847,0.00008605776,0.0002220113,0.0006253616,0.0005154366,0.0004473883,0.001331285,0.0002717758,0.00007127029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254318,"about_ca_system_score_gemma":0.001732498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06478079,"about_ca_topic_score_gemma":0.1660922,"domain_scores_codex":[0.9991086,0.0005770552,0.00001873344,0.00003884735,0.00005173399,0.0002050974],"domain_scores_gemma":[0.9991922,0.0001817053,0.0002673655,0.00003140585,0.00006854541,0.0002587935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002014533,0.004372945,0.7540059,0.0007995214,0.0004454879,0.001737168,0.008798473,0.001503557,0.00608236,0.002315611,0.002309202,0.2156153],"study_design_scores_gemma":[0.00003609734,0.000526803,0.9906944,0.0001408847,0.000044565,0.00007692083,0.005747706,0.0004054941,0.0002532206,0.0002278615,0.001839097,0.000007045413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951932,0.0005604962,0.0000664742,0.0006285299,0.000009731778,0.00003925428,0.0001267229,0.000004510091,0.003371186],"genre_scores_gemma":[0.999011,0.0002947377,0.0001454717,0.0001031585,0.000004695835,0.00004229775,0.00004363057,0.00000100586,0.0003539414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06478079,"threshold_uncertainty_score":0.1288074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535316358959295,"score_gpt":0.1915590376812825,"score_spread":0.1462058740916896,"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."}}