{"id":"W2129715162","doi":"10.1073/pnas.1011529108","title":"Conditions associated with protected area success in conservation and poverty reduction","year":2011,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":301,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Poverty; Deforestation (computer science); Poverty reduction; Protected area; Biodiversity; Poverty trap; Natural resource economics; Ecosystem services; Geography; Ecosystem; Development economics; Environmental resource management; Economics; Ecology; Economic growth; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381672,0.000123386,0.00022947,0.001321277,0.0009155278,0.001571963,0.0003040211,0.0004919814,0.009399483],"category_scores_gemma":[0.01060902,0.00009091589,0.0001885596,0.001599212,0.001906439,0.0008369679,0.001559783,0.0005464738,0.0005588284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006249245,"about_ca_system_score_gemma":0.0005057693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342201,"about_ca_topic_score_gemma":0.005160869,"domain_scores_codex":[0.9988581,0.0003522477,0.0001098165,0.0001291099,0.0001954708,0.0003552563],"domain_scores_gemma":[0.98803,0.00275604,0.005329536,0.0006991967,0.000842442,0.002342738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001343186,0.0001092472,0.9886014,0.00002724589,0.00004183015,0.0002019838,0.0006636594,0.0006094648,0.0008009729,0.001786499,0.0002855335,0.006737924],"study_design_scores_gemma":[0.000002353303,0.0000489677,0.9969257,0.000007368916,0.000004609327,0.0001883226,0.001151118,0.0001760649,0.00008181643,0.001002951,0.0004056305,0.000005188983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930565,0.00009917303,0.0001196962,0.0002029189,0.000003864089,0.00001243664,0.000131715,0.000003564427,0.006370087],"genre_scores_gemma":[0.9997081,0.00002713762,0.00005198658,0.000007881526,0.000004124926,0.000003798147,0.00004982365,0.000001305174,0.0001457975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009399483,"threshold_uncertainty_score":0.03144437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04628499298868129,"score_gpt":0.2343867917702628,"score_spread":0.1881017987815815,"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."}}