{"id":"W1513426750","doi":"","title":"Indigenous Knowledge of Water Management, Biodiversity Conservation and Local Development in Rural India: A Case Study of the Thanagazi Region (Rajasthan, India)","year":2011,"lang":"en","type":"article","venue":"","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Traditional knowledge; Indigenous; Irrigation; Local community; Agriculture; Water conservation; Geography; Sustainable development; Environmental planning; Agroforestry; Biodiversity; Irrigation management; Environmental resource management; Equity (law); Sustainability; Water resource management; Ecology; Political science; Economics; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002452081,0.00007656026,0.0001220237,0.00008654004,0.0002014944,0.000008623017,0.000169575,0.00006538403,0.00002709157],"category_scores_gemma":[0.000003545669,0.00004775918,0.00001742029,0.0002116025,0.0002103025,0.000172396,0.0001760267,0.00006867506,0.000002997247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006472797,"about_ca_system_score_gemma":0.00005323064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02570025,"about_ca_topic_score_gemma":0.0497289,"domain_scores_codex":[0.9992658,0.0001095808,0.0001886747,0.0001164035,0.0001455301,0.0001740496],"domain_scores_gemma":[0.9997044,0.00000861162,0.00009893082,0.0001073922,0.00005073386,0.00002999224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001476411,0.0001546155,0.6302503,0.00001714452,0.00002214259,0.00005627297,0.3669682,2.291842e-7,0.000005044401,0.0001179761,0.00008713421,0.00230613],"study_design_scores_gemma":[0.0006056147,0.00008699974,0.7884282,0.00002080444,0.0000168373,0.00001194234,0.2079511,7.129905e-7,0.002209583,0.0001583458,0.0004283923,0.000081389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957354,0.00001436884,0.00001984049,0.00002389002,0.00007308333,0.0005197031,0.000001511221,0.000006955927,0.003605213],"genre_scores_gemma":[0.9996695,0.00001452909,0.00004725696,0.00004055828,0.000005566296,0.000005517818,9.873212e-7,0.000002023657,0.0002140591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1590171,"threshold_uncertainty_score":0.9807877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957426946756996,"score_gpt":0.238123801828536,"score_spread":0.208549532360966,"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."}}