{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768723,0.0008885599,0.0009151005,0.001214996,0.006163379,0.01181784,0.0014503,0.0041412,0.02281998],"category_scores_gemma":[0.004249023,0.0003076603,0.0006587094,0.002095933,0.0140831,0.01994569,0.008752191,0.009996067,0.008478519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004287608,"about_ca_system_score_gemma":0.007092025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103386,"about_ca_topic_score_gemma":0.0124227,"domain_scores_codex":[0.9980536,0.0004827659,0.00006311751,0.0002511212,0.000621259,0.0005280864],"domain_scores_gemma":[0.9978197,0.0005441814,0.00009403095,0.0003335938,0.0005839307,0.0006245805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004319197,0.00002989405,0.0006087905,0.0003802092,0.00001592053,0.0002770857,0.00540242,0.0001348,0.0003854839,0.4166588,0.5036476,0.07241575],"study_design_scores_gemma":[0.000002357859,0.0000135983,0.000311094,0.0002499492,0.000005500111,0.0001336159,0.003293802,0.00004017443,0.0001119503,0.06635302,0.929463,0.00002195189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004267288,0.1067256,0.002976471,0.5364373,0.03081771,0.00002568983,0.0006948828,0.0006192688,0.3174357],"genre_scores_gemma":[0.2810467,0.1781064,0.003931892,0.3101204,0.0279169,0.0001068239,0.001346462,0.001003753,0.1964206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02281998,"threshold_uncertainty_score":0.07634038,"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."}}