{"id":"W2991562289","doi":"10.3390/s19235134","title":"Metal Cation Detection in Drinking Water","year":2019,"lang":"en","type":"review","venue":"Sensors","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Global Water Futures; Canada First Research Excellence Fund; U.S. Environmental Protection Agency","keywords":"Cadmium; Environmental chemistry; Water quality; Mercury (programming language); Chemistry; Barium; Absorbance; Quartz crystal microbalance; Inorganic chemistry; Chromatography; Adsorption","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006703052,0.0001867585,0.0005975449,0.00008903995,0.00003227431,0.00001941859,0.0001263083,0.0002410858,0.0001628531],"category_scores_gemma":[0.000009515597,0.0001288728,0.0003139187,0.0001743814,0.00001141847,0.00001968244,0.00002920058,0.0003468874,0.0005975201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398908,"about_ca_system_score_gemma":0.00001693631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003280746,"about_ca_topic_score_gemma":0.00004428281,"domain_scores_codex":[0.9990078,0.00001831495,0.0003473233,0.0003166996,0.0001093695,0.0002004886],"domain_scores_gemma":[0.9995193,0.00003950184,0.0001079131,0.0002906112,0.00001598814,0.00002666153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.853688e-7,0.00003267512,0.000002032367,0.003786509,0.0001048323,0.000001162623,0.00003274116,0.000009315248,0.01818938,0.00003180269,0.000006080884,0.9778027],"study_design_scores_gemma":[0.00003765068,0.000001676651,1.242027e-7,0.0007325899,0.0004444894,0.00000745309,0.000006387467,0.000122558,0.03618388,0.00006072594,0.9622066,0.0001958853],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007371325,0.987938,0.00001156767,0.00001352725,0.00002528584,0.0001343927,0.000004012566,0.0000517951,0.004450023],"genre_scores_gemma":[0.006401876,0.9897261,0.00001708021,0.0000047005,0.0001400082,0.00007468423,0.0003399045,0.00003169715,0.003263999],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9776068,"threshold_uncertainty_score":0.7680111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606023498982318,"score_gpt":0.2896260122895686,"score_spread":0.2635657772997455,"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."}}