{"id":"W2136307323","doi":"10.1177/097152150100800203","title":"Integrating Gender Concerns into Natural Resource Management","year":2001,"lang":"en","type":"article","venue":"Indian Journal of Gender Studies","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Multiple Sclerosis Scientific Research Foundation","keywords":"Tamil; Government (linguistics); Equity (law); Participatory rural appraisal; Natural resource management; Natural resource; Participatory development; Citizen journalism; Empowerment; Monitoring and evaluation; Economic growth; Public relations; Political science; Sociology; Environmental resource management; Business; Agriculture; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004641959,0.0001666796,0.0002155135,0.0001283213,0.0004238617,0.00004661792,0.0003658377,0.0000327226,0.0002687808],"category_scores_gemma":[0.0000350823,0.0001267231,0.0001248662,0.0002699579,0.000235594,0.0001645598,0.0004732616,0.0002098119,0.00007505401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141658,"about_ca_system_score_gemma":0.000007309875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003216912,"about_ca_topic_score_gemma":0.00009831117,"domain_scores_codex":[0.998603,0.00007923974,0.0003610143,0.0001941245,0.0005013573,0.0002612201],"domain_scores_gemma":[0.9993877,0.00004469779,0.0002754139,0.000155718,0.00004278173,0.00009371984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007284784,0.00008681905,0.8533751,0.00006989421,0.001004265,0.001262159,0.07302383,0.0004952972,0.00006528116,0.00006664225,0.02770032,0.04277748],"study_design_scores_gemma":[0.0009554591,0.0001084487,0.564225,0.00006354117,0.0001705591,0.0001700048,0.196503,0.00003696981,0.00004583982,0.001193094,0.2362087,0.0003194564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655887,0.002861371,0.0003516897,0.001558898,0.0004794204,0.0001670178,0.000001050897,0.00002038736,0.02897144],"genre_scores_gemma":[0.9944876,0.0006713079,0.001952274,0.0008694528,0.000165428,0.000001888153,9.846751e-7,0.000008489717,0.001842575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2891502,"threshold_uncertainty_score":0.5167617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04684226659557847,"score_gpt":0.2742392400534264,"score_spread":0.2273969734578479,"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."}}