{"id":"W2338809173","doi":"10.1149/ma2015-01/40/2089","title":"Rapid Detection of Fluoride in Potable Water","year":2015,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; York University","funders":"","keywords":"Fluoride; Potable water; Chemistry; Distilled water; Silylation; Environmental chemistry; Inorganic chemistry; Catalysis; Environmental science; Organic chemistry; Environmental engineering; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166943,0.0004826238,0.0002903889,0.0006111984,0.0001714095,0.0001905252,0.0004808653,0.0008353804,0.001673082],"category_scores_gemma":[0.0004579485,0.0001914324,0.0002883826,0.0002894008,0.00027286,0.0005102132,0.0003092525,0.0006927308,0.0004273069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950427,"about_ca_system_score_gemma":0.0001809513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006162933,"about_ca_topic_score_gemma":0.0008149403,"domain_scores_codex":[0.9995642,0.00003940507,0.00001751971,0.0001167152,0.0002029658,0.00005924119],"domain_scores_gemma":[0.999773,0.00008579029,0.00005800905,0.00001308313,0.00005160691,0.00001851898],"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":[0.00002389661,0.0000125771,0.000205882,0.00008467085,0.000004773141,0.00003811583,0.00002387727,0.00007125507,0.9923167,0.00007427984,0.0001283448,0.007015726],"study_design_scores_gemma":[0.000005791625,0.0002042226,0.00151574,0.000008653494,0.000006253335,0.0001483504,0.00002113836,0.001258518,0.9942655,0.00003692543,0.002516892,0.00001193744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042783,0.01184287,0.1706802,0.0005688777,0.0005219083,0.0003697967,0.001660175,0.001850184,0.008227698],"genre_scores_gemma":[0.9207678,0.00430054,0.06843892,0.0002435863,0.00006706673,0.0002147421,0.0007530284,0.00004195175,0.005172311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673082,"threshold_uncertainty_score":0.005596995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305648125103081,"score_gpt":0.212413279408125,"score_spread":0.1993567981570942,"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."}}