{"id":"W7164884449","doi":"10.1080/17153379.2017.12557812","title":"Community Natural Resource Management and Poverty in India: Evidence from Gujarat and Madhya Pradesh.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Poverty; Community management; Natural resource; Natural resource management; Community-based management; Resource management (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008093135,0.0002564085,0.0003316329,0.001602209,0.001731719,0.0009696952,0.0009293088,0.000436062,0.00149169],"category_scores_gemma":[0.003417826,0.0002506853,0.0004448951,0.004894736,0.002590663,0.000614085,0.0021217,0.0007935215,0.0001280657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472271,"about_ca_system_score_gemma":0.002674433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2211081,"about_ca_topic_score_gemma":0.3877338,"domain_scores_codex":[0.9989774,0.0005026492,0.0000411586,0.000060392,0.0001133666,0.0003050434],"domain_scores_gemma":[0.9951043,0.002041503,0.001579981,0.0002191386,0.0003728564,0.0006822456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002355147,0.0004095248,0.9588368,0.0002089315,0.0003274682,0.00087423,0.01709508,0.0002614142,0.0002452237,0.001641106,0.0009061506,0.01895849],"study_design_scores_gemma":[0.00001392672,0.00008678757,0.980243,0.00007275589,0.0001369825,0.0001299567,0.01826598,0.0000992866,0.00004853091,0.000228701,0.000664921,0.000009186123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976333,0.0005485368,0.00002550342,0.0004898474,0.000003173024,0.000007619758,0.0001364286,0.000001461478,0.001153986],"genre_scores_gemma":[0.9992051,0.0004978809,0.00003759457,0.00005773432,0.000003297815,0.000006816165,0.00007390926,6.778764e-7,0.0001171178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2211081,"threshold_uncertainty_score":0.4396423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757246246836141,"score_gpt":0.2311942053417189,"score_spread":0.2036217428733575,"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."}}