{"id":"W4416817371","doi":"10.61558/2993-074x.3572","title":"Development of a Digestion Procedure Using Fe&lt;sup&gt;2+&lt;/sup&gt; Ions for Electrochemical Detection of MnO&lt;sub&gt;2&lt;/sub&gt; Particles in Drinking Water","year":2025,"lang":"en","type":"article","venue":"Dian hua xue/Dian huaxue","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Digestion (alchemy); Detection limit; Manganese; Particulates; Reproducibility; Stoichiometry; Electrochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008252399,0.0008283107,0.0005136252,0.0004224817,0.0002501417,0.0002821409,0.0005957533,0.0007831551,0.001092918],"category_scores_gemma":[0.0008223977,0.0005080315,0.0004015916,0.0002682996,0.0003540743,0.0004233761,0.0002732711,0.000874726,0.0008216911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002352932,"about_ca_system_score_gemma":0.0003303039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006245971,"about_ca_topic_score_gemma":0.002204889,"domain_scores_codex":[0.9993904,0.0001006631,0.00008032662,0.0001755951,0.000206304,0.00004677646],"domain_scores_gemma":[0.9996719,0.0001067475,0.00005962223,0.00003948358,0.0001057109,0.00001654308],"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":[0.00001993395,0.00001325136,0.000125367,0.00008052933,0.000006423344,0.00004007502,0.00001847459,0.00007309143,0.995439,0.00007348731,0.00008467667,0.004025705],"study_design_scores_gemma":[0.000007883238,0.0001173619,0.001549085,0.00001578887,0.00001540906,0.0002054676,0.00001985393,0.00143896,0.9922131,0.00005779386,0.00434655,0.00001277164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4264634,0.003646164,0.5601743,0.0006974303,0.0004013872,0.0009072546,0.001028365,0.00127528,0.005406363],"genre_scores_gemma":[0.407339,0.003069448,0.581139,0.0005465721,0.00007168803,0.001081839,0.001424387,0.0002051788,0.0051229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001092918,"threshold_uncertainty_score":0.004364371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045059409820506,"score_gpt":0.2374931311997118,"score_spread":0.2270425371015067,"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."}}