{"id":"W3008594510","doi":"10.1149/1945-7111/ab71fa","title":"Review—Nanocomposite-Based Sensors for Voltammetric Detection of Hazardous Phenolic Pollutants in Water","year":2020,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation","keywords":"Nanocomposite; Pollutant; Electrochemical gas sensor; Nanotechnology; Hazardous waste; Nanomaterials; Materials science; Electrochemistry; Environmental science; Electrode; Chemistry; Waste management; Engineering","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":[0.0002039887,0.0001526735,0.0004555141,0.00002307998,0.00006949244,0.000009922311,0.0004172128,0.0001725172,0.00003299],"category_scores_gemma":[0.0001818826,0.00009193335,0.0009812223,0.0006717613,0.00005238507,0.00003643477,0.00003799843,0.0006521797,0.000001410527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641556,"about_ca_system_score_gemma":0.00005980205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002656905,"about_ca_topic_score_gemma":7.643969e-7,"domain_scores_codex":[0.9985321,0.00002030174,0.0006892009,0.0001741504,0.0002757652,0.0003085166],"domain_scores_gemma":[0.9990183,0.0001246821,0.0004198581,0.0001659591,0.0001646897,0.0001065378],"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":[0.00007514178,0.000102168,0.00006740888,0.0004100366,0.00009166793,1.392012e-7,0.00004891801,0.00001060365,0.997942,0.000002185632,0.000440289,0.0008094757],"study_design_scores_gemma":[0.00065991,0.00005205337,0.00001132661,0.0001881524,0.0002013749,0.000008457273,0.00001202893,0.002664897,0.9929212,0.0002056154,0.002966344,0.0001086321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630386,0.007211627,0.01494324,0.0144217,0.00002094644,0.0002667946,0.00001338874,0.0000220827,0.00006167123],"genre_scores_gemma":[0.9958762,0.0005967809,0.001290989,0.00197913,0.0001997665,0.00001310625,0.000004256562,0.00001814345,0.00002162542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03283766,"threshold_uncertainty_score":0.3748933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001917396446047,"score_gpt":0.232688584025123,"score_spread":0.2226694100606625,"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."}}