{"id":"W3147310880","doi":"10.1021/acsanm.1c00178","title":"Graphene Oxide-Based Nanomaterials for the Electrochemical Sensing of Isoniazid","year":2021,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Graphene; Oxide; Isoniazid; Materials science; Nanomaterials; Nanotechnology; Electrochemistry; Detection limit; Chemistry; Tuberculosis; Electrode; Medicine; Physical chemistry; Metallurgy","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":[0.0001966844,0.0004177307,0.0002182296,0.0003429872,0.000160583,0.0001631033,0.0004383827,0.0006122307,0.0004754768],"category_scores_gemma":[0.0002478458,0.0001923045,0.0002764171,0.0001917355,0.0001728184,0.0003163349,0.0002159852,0.0005017524,0.0002076313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002352885,"about_ca_system_score_gemma":0.0001349683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004487806,"about_ca_topic_score_gemma":0.002233201,"domain_scores_codex":[0.9998395,0.00002864577,0.00001001287,0.00003075517,0.00007340985,0.00001754812],"domain_scores_gemma":[0.9999501,0.00001835146,0.000007811282,0.000005754396,0.00001227676,0.000005726241],"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":[0.00001449403,0.00001679384,0.00007558053,0.0001252033,0.000007069408,0.00004711876,0.00001312638,0.000512598,0.9944932,0.0004529693,0.0001011908,0.004140634],"study_design_scores_gemma":[0.000006503039,0.0001404896,0.0008573087,0.00001527236,0.00001716924,0.0001003134,0.00002034592,0.008080134,0.9866736,0.0002341003,0.003838873,0.00001594025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559556,0.02042776,0.1075893,0.0007994281,0.0004618293,0.0002571438,0.0008374612,0.0007036051,0.01296785],"genre_scores_gemma":[0.9384005,0.003715743,0.05576204,0.0001880682,0.00002697654,0.0001062435,0.0003041537,0.00002102647,0.001475317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006122307,"threshold_uncertainty_score":0.001707137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006830759198039681,"score_gpt":0.1955762319981326,"score_spread":0.1887454728000929,"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."}}