{"id":"W253711109","doi":"10.1201/9780203020777","title":"Climate Change and Water Resources in South Asia","year":2005,"lang":"en","type":"book","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Water resources; Climatology; Geography; Environmental science; Environmental resource management; Geology; Oceanography; Ecology; Biology","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":[0.00007352894,0.0002101373,0.0001900502,0.0002660469,0.00002026998,0.00007466404,0.00008825298,0.0001613144,0.0002334549],"category_scores_gemma":[4.370645e-7,0.0001598027,0.00002727935,0.00002484439,0.00001564111,0.0001016621,0.00009243374,0.0001424695,0.0001479091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004331812,"about_ca_system_score_gemma":5.279191e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002270715,"about_ca_topic_score_gemma":0.00003588219,"domain_scores_codex":[0.9992832,0.000006468497,0.0001731464,0.0001742903,0.00009582339,0.0002670954],"domain_scores_gemma":[0.9998128,0.000003538554,0.00001527271,0.0001292152,0.000004983767,0.00003421806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002325935,0.0001444223,0.008087968,0.01316419,0.000841197,0.000499007,0.2731295,0.2408521,0.00007563939,0.008794292,0.1144767,0.3397023],"study_design_scores_gemma":[0.0003955671,0.00001754808,0.0003986368,0.0002205467,0.00004008314,0.000001133538,0.00007728192,0.02827645,0.00004347814,0.0001251903,0.9698849,0.000519159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003566399,0.0006154497,0.00005258423,0.00005821923,0.00008107987,0.0003492384,0.000007168174,0.0003311166,0.9949387],"genre_scores_gemma":[0.02235456,0.001115578,0.0005334725,0.0001335757,0.000910803,0.00006062708,0.0002863996,0.0001707347,0.9744343],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8554083,"threshold_uncertainty_score":0.6516566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451497398344566,"score_gpt":0.1751840430984796,"score_spread":0.160669069115034,"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."}}