{"id":"W3004359128","doi":"10.1002/awwa.1454","title":"India's Water: To Infinity and Beyond","year":2020,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Population; Gross domestic product; Quarter (Canadian coin); Product (mathematics); Geography; Agriculture; Economic growth; Political science; Economic history; History; Sociology; Demography; Mathematics; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001024142,0.0001101607,0.0001444197,0.00006397789,0.00005400203,0.0001341346,0.00007271732,0.00003885646,0.00003484711],"category_scores_gemma":[0.000013186,0.0000834451,0.00002245972,0.0001716989,0.00001118583,0.000166142,0.00006882132,0.00009936556,0.0001530065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008002936,"about_ca_system_score_gemma":7.885067e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002016587,"about_ca_topic_score_gemma":0.000004028635,"domain_scores_codex":[0.9992868,0.00002625174,0.0001410143,0.0001422573,0.0001384056,0.0002652998],"domain_scores_gemma":[0.9997734,0.00001228865,0.00002465889,0.00006667295,0.00001995893,0.0001030523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001023838,0.00006086504,0.2654632,0.0001517553,0.0006481672,0.00001581788,0.0967886,0.4481431,0.0145146,0.00009124506,0.03448187,0.1395384],"study_design_scores_gemma":[0.003001675,0.0009205032,0.1252124,0.00008304479,0.000378699,0.000001624164,0.00373262,0.2118059,0.1059233,0.0005272016,0.5453075,0.003105542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826958,0.00001287873,0.006461337,0.004811954,0.0001004619,0.0002016301,0.000003285824,0.0003418743,0.005370751],"genre_scores_gemma":[0.9972004,0.00003233859,0.0006183418,0.001710317,0.0001238357,0.00001353136,0.00007303023,0.00002497997,0.00020318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5108256,"threshold_uncertainty_score":0.3402792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003685230676175487,"score_gpt":0.1663699020284923,"score_spread":0.1626846713523168,"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."}}