{"id":"W2000097048","doi":"10.1002/elan.201200215","title":"A Simple Route of Modifying Copper Electrodes for the Determination of Methanol and Ethylene Glycol","year":2012,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ethylene glycol; Electrode; Amperometry; Copper; Methanol; Anode; X-ray photoelectron spectroscopy; Materials science; Scanning electron microscope; FOIL method; Inorganic chemistry; Analytical Chemistry (journal); Chemistry; Electrochemistry; Chemical engineering; Chromatography; Organic chemistry; Composite material","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":[0.0002450832,0.0001241685,0.0002839208,0.00009476055,0.0000467895,0.000007937085,0.00009400189,0.00007192127,0.000009819191],"category_scores_gemma":[0.00007574442,0.00008889338,0.0001450124,0.0003611038,0.00003256917,0.00007452422,0.000011362,0.00009559498,3.430049e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003954228,"about_ca_system_score_gemma":0.00000645078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005479002,"about_ca_topic_score_gemma":0.0000340129,"domain_scores_codex":[0.9991362,0.00002509821,0.0002543456,0.0001039059,0.0001357326,0.0003447188],"domain_scores_gemma":[0.9993404,0.0003140531,0.00007682751,0.000153033,0.00007190817,0.00004381769],"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":[0.00002240972,0.00001756489,0.001712422,0.0000552774,0.0002320631,3.224197e-8,0.0001224233,0.0001911789,0.9882644,0.0001047031,0.00004794944,0.009229513],"study_design_scores_gemma":[0.0001582247,0.00006132502,0.0009592477,0.000004129769,0.0003837917,0.000002022697,0.00002214364,0.05123888,0.9466313,0.0002144678,0.0002246804,0.00009977696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782743,0.003868612,0.01745387,0.00005101413,0.00001152933,0.0001909339,0.000007894421,0.00003243704,0.0001093764],"genre_scores_gemma":[0.9978452,0.0003637772,0.001627876,0.00001656581,0.00005830344,0.00002957918,0.000008888631,0.00001912034,0.00003069959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0510477,"threshold_uncertainty_score":0.3624967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089473448057685,"score_gpt":0.2404071127122176,"score_spread":0.2295123782316408,"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."}}