{"id":"W3119280856","doi":"10.3390/w13020134","title":"Essential Trace Elements and Arsenic in Thermal Springs, Afghanistan","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Arsenic; Manganese; Zinc; Trace element; Barium; Environmental chemistry; Copper; Chemistry; Mineralogy; Metallurgy; Materials science; Inorganic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008070333,0.00004121744,0.000038465,0.000008644244,0.00003068567,0.00001782912,0.00002806822,0.00001974207,0.004628289],"category_scores_gemma":[0.00000323161,0.00003338268,0.00001096056,0.00002867808,0.00002789398,0.00009850256,0.0000693878,0.00003688969,0.0001714989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003212097,"about_ca_system_score_gemma":0.000002561415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003871761,"about_ca_topic_score_gemma":0.0003979644,"domain_scores_codex":[0.9995649,0.00002166583,0.00008823239,0.000129056,0.00008589547,0.0001102451],"domain_scores_gemma":[0.999898,0.000003210239,0.0000105323,0.00006117259,0.000002103595,0.00002494667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005431124,0.00004168317,0.04718259,0.000003067488,0.00000296279,0.00003655607,0.001528684,0.00001410273,0.9328809,0.0001765107,0.00008521993,0.01804226],"study_design_scores_gemma":[0.0007557879,0.00001441179,0.4173332,0.000007595851,0.000006672984,0.00001050191,0.0003426509,0.0005634746,0.5448406,0.0003682104,0.03561065,0.0001462678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911284,0.000009599848,0.00005238487,0.0004344652,0.0000440215,0.00004518314,6.127883e-7,0.0000076379,0.008277672],"genre_scores_gemma":[0.9943872,0.000003991232,0.0002237159,0.000113824,0.00001054016,0.000003350343,0.000006098172,0.000003736849,0.005247558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3880403,"threshold_uncertainty_score":0.9962816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004006254729632061,"score_gpt":0.2009252196103782,"score_spread":0.1969189648807461,"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."}}