{"id":"W4394929311","doi":"10.1007/978-981-97-1785-9","title":"India's Water Future in a Changing Climate","year":2024,"lang":"en","type":"book","venue":"Advances in geographical and environmental sciences","topic":"Water resources management and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Multiple Sclerosis Scientific Research Foundation","keywords":"Environmental science; Climate change; Climatology; Water resource management; Geography; Oceanography; Geology","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":[0.0001741862,0.0003531213,0.0001786959,0.0004771963,0.0009842536,0.002584556,0.0005136707,0.0006116437,0.009746274],"category_scores_gemma":[0.0003562833,0.0001269057,0.0002789081,0.001459452,0.000912459,0.001485115,0.0009087286,0.001637709,0.001669253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760076,"about_ca_system_score_gemma":0.003874599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04046131,"about_ca_topic_score_gemma":0.1122775,"domain_scores_codex":[0.9998651,0.00001431789,0.000004362555,0.00001341982,0.00006580464,0.00003700354],"domain_scores_gemma":[0.9999117,0.00002545737,0.000005998227,0.000008578767,0.00002269128,0.00002572223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007206776,0.00003112671,0.001631718,0.00036804,0.00002199891,0.0007669167,0.002215775,0.004565169,0.001574407,0.4375632,0.3922763,0.1589133],"study_design_scores_gemma":[0.000003323036,0.00002067408,0.003064284,0.0001007356,0.00001432972,0.0003066426,0.001721401,0.0008278379,0.0003913638,0.03367841,0.9598534,0.00001760429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01991962,0.03010877,0.001993905,0.03464757,0.004961561,0.00001533773,0.0007362036,0.0002318645,0.9073852],"genre_scores_gemma":[0.3850858,0.04659581,0.002632572,0.003796038,0.001488396,0.00002697314,0.0006931426,0.0001794371,0.5595019],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04046131,"threshold_uncertainty_score":0.08045161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002039328396684637,"score_gpt":0.1671055820554957,"score_spread":0.1650662536588111,"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."}}