{"id":"W4297786724","doi":"","title":"A 'Drought-Free' Maharashtra? Politicising Water Conservation for Rain-Dependent Agriculture","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Water resources management and optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agriculture; Agroforestry; Water conservation; Soil conservation; Environmental science; Water resource management; Rainwater harvesting; Hydrology (agriculture); Geography; Agronomy; Geology; Irrigation; Ecology; Biology; Geotechnical engineering; Archaeology","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004537275,0.0002761292,0.0004446818,0.0003224942,0.000194873,0.001566033,0.001105307,0.0001120843,0.002015652],"category_scores_gemma":[0.0001012632,0.0002199963,0.0001620252,0.0004061683,0.00003045361,0.001645636,0.000498687,0.000198273,0.00001148589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113619,"about_ca_system_score_gemma":0.00002120105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009741262,"about_ca_topic_score_gemma":0.00005672604,"domain_scores_codex":[0.9981416,0.00008140324,0.0006224076,0.000302571,0.0004152205,0.0004367864],"domain_scores_gemma":[0.9989142,0.00009034986,0.0001635582,0.0003905687,0.0003078538,0.000133514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001814686,0.0003072259,0.05155868,0.001296062,0.001080462,0.0001399689,0.001760696,0.1783506,0.4692995,0.0009613667,0.2911739,0.003890128],"study_design_scores_gemma":[0.002971555,0.00001576988,0.07107296,0.0008054373,0.0004330067,0.00004263143,0.0004515196,0.01620968,0.7493755,0.01874993,0.1385023,0.001369659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162453,0.00807839,0.05392313,0.001530527,0.001535008,0.001532054,0.000131337,0.0003041317,0.01672014],"genre_scores_gemma":[0.9888063,0.002426596,0.00276941,0.0007218269,0.0005345367,0.0001125043,0.0003492933,0.0001235768,0.004155965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800761,"threshold_uncertainty_score":0.9994704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311739034241655,"score_gpt":0.4407617432078083,"score_spread":0.3095878397836428,"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."}}