{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366357,0.0009654702,0.0009026659,0.002051759,0.0002041734,0.0007421839,0.0006169375,0.0009716483,0.002260933],"category_scores_gemma":[0.0003712587,0.0003949958,0.0004537472,0.001542754,0.000310588,0.0008798015,0.0005518427,0.0008542471,0.002112071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447687,"about_ca_system_score_gemma":0.000521557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242583,"about_ca_topic_score_gemma":0.00167289,"domain_scores_codex":[0.9997304,0.00003082328,0.00001963849,0.00007073858,0.0001207334,0.00002764795],"domain_scores_gemma":[0.9998853,0.00004052967,0.00002029752,0.000004408306,0.00004240164,0.000007024099],"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":[0.00009149568,0.00008633795,0.0005817886,0.02542879,0.0001249811,0.0003904205,0.0000956128,0.000730391,0.05231463,0.005819745,0.01784971,0.896486],"study_design_scores_gemma":[0.00001274824,0.0001957584,0.001543183,0.001489657,0.0001333178,0.00205959,0.00009040275,0.0005489375,0.0334196,0.00206935,0.958397,0.00004052345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001486167,0.9917532,0.001366167,0.0001740025,0.000372602,0.00001327446,0.0000533057,0.00003373803,0.004747559],"genre_scores_gemma":[0.01000084,0.9829736,0.001366108,0.0002497474,0.0001951404,0.0000245092,0.0001026725,0.000006376641,0.005080991],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002260933,"threshold_uncertainty_score":0.007563531,"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."}}