{"id":"W2109422432","doi":"10.1007/s10393-010-0309-y","title":"Ecosystem Perspective of Groundwater Arsenic Contamination in India and Relevance in Policy","year":2010,"lang":"en","type":"article","venue":"EcoHealth","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"University Grants Commission","keywords":"Arsenic contamination of groundwater; Agriculture; Groundwater; Environmental planning; Public health; Sustainability; Natural resource economics; Water resource management; Environmental science; Environmental resource management; Environmental protection; Environmental health; Ecology; Medicine; Engineering; Biology; Economics","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":[0.0003882579,0.00005707582,0.0001017189,0.0001059687,0.00002353306,0.00000503675,0.0000499171,0.00005272216,0.0001800397],"category_scores_gemma":[0.0002150841,0.00005736236,0.00001044735,0.0001801065,0.00004802069,0.000178673,0.00003114017,0.0001397945,0.0000534417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509101,"about_ca_system_score_gemma":0.00003631145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426204,"about_ca_topic_score_gemma":0.04344988,"domain_scores_codex":[0.9993399,0.00005457257,0.0002070326,0.0001679621,0.00009742215,0.0001330478],"domain_scores_gemma":[0.9996862,0.00007713799,0.00009295437,0.00008995472,0.00001203937,0.00004170362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005526922,0.0003090653,0.813924,0.00008488549,0.000004389658,0.000008435064,0.02243104,0.00004403208,0.02125326,0.06133209,0.0001363634,0.0804172],"study_design_scores_gemma":[0.0005097383,0.00005260274,0.994676,0.00001600308,6.990836e-7,0.000003962045,0.0005391596,0.001426091,0.0004236163,0.001204245,0.001087967,0.00005993848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847599,0.000009145353,0.00003333041,0.0006143001,0.00008686166,0.0002333057,0.00000242171,0.000007000007,0.01425371],"genre_scores_gemma":[0.9992737,0.00004077811,0.000193625,0.000112358,0.00002294195,0.00001174611,0.000002692263,0.000004788199,0.0003373297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.180752,"threshold_uncertainty_score":0.9740047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004437919613988342,"score_gpt":0.2488246739161393,"score_spread":0.244386754302151,"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."}}