{"id":"W2057342912","doi":"10.1039/c2mt20020a","title":"A survey of arsenic, manganese, boron, thorium, and other toxic metals in the groundwater of a West Bengal, India neighbourhood","year":2012,"lang":"en","type":"article","venue":"Metallomics","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Jadavpur University","keywords":"Arsenic; Groundwater; Environmental chemistry; Uranium; Manganese; Arsenic contamination of groundwater; Water quality; Chemistry; Environmental science; Environmental health; Geography; Metallurgy; Medicine; Materials science; Geology","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":[0.001681803,0.00009495674,0.0001778907,0.00004120208,0.00002866456,0.00001010939,0.0001492728,0.00005461083,0.0005615034],"category_scores_gemma":[0.00007516846,0.00006648833,0.00003879099,0.0001882303,0.000135506,0.000211511,0.00007602968,0.00007952148,0.00001916655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002763032,"about_ca_system_score_gemma":0.000006837333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537293,"about_ca_topic_score_gemma":0.002791055,"domain_scores_codex":[0.9989833,0.0002696002,0.000268899,0.000117625,0.0001967192,0.0001638604],"domain_scores_gemma":[0.9994947,0.0001335677,0.0001373651,0.000187848,0.000008926972,0.00003761094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002549958,0.0003741535,0.9548603,0.00001905203,0.00004493236,8.529865e-7,0.009462488,0.00001493319,0.02631549,0.002264658,0.0000820428,0.006535577],"study_design_scores_gemma":[0.0002572967,0.00003726377,0.9944863,0.000003599145,0.00002640315,0.000005431486,0.0005246016,0.0001197723,0.003473128,0.00008958803,0.0008977987,0.0000788106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957875,0.0001769804,0.0001487123,0.00006150699,0.00005505819,0.0002048786,0.00001453086,0.00000408138,0.003546776],"genre_scores_gemma":[0.9993185,0.00002479074,0.0002701351,0.0001914699,0.00001033432,0.00001001979,0.000009509581,0.000009276932,0.0001559298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03962599,"threshold_uncertainty_score":0.6148068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422031568256976,"score_gpt":0.251201460934615,"score_spread":0.2269811452520452,"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."}}