{"id":"W2048299653","doi":"10.1021/ac7022876","title":"Noncovalent Modification of Carbon Nanotubes with Ferrocene−Amino Acid Conjugates for Electrochemical Sensing of Chemical Warfare Agent Mimics","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"Ontario Ministry of Research and Innovation","keywords":"Chemistry; Ferrocene; Carbon nanotube; Boronic acid; Electrochemistry; Combinatorial chemistry; Indium tin oxide; Cyclic voltammetry; Chemical modification; Surface modification; Conjugate; Aqueous solution; Inorganic chemistry; Organic chemistry; Nanotechnology; Polymer chemistry; Electrode; Layer (electronics); Materials science","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":[0.0001447706,0.0002529559,0.0005402873,0.00003348852,0.00004342549,0.00001227535,0.0002969589,0.0002022318,0.00002929954],"category_scores_gemma":[0.0002498463,0.0002260845,0.0001621387,0.0002057931,0.0005585097,0.00004584218,0.00008811271,0.0001424933,0.000001226178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140419,"about_ca_system_score_gemma":0.0001658037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000210566,"about_ca_topic_score_gemma":5.517403e-7,"domain_scores_codex":[0.9980552,0.00001607478,0.000589495,0.0004872407,0.0004662552,0.0003857036],"domain_scores_gemma":[0.9985164,0.0002495266,0.0002192925,0.0004724403,0.0004071243,0.0001351811],"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":[0.0003362989,0.0001551039,0.0005580673,0.0003417816,0.00003944393,0.000005936964,0.00008032502,0.00003499568,0.9983275,0.00004860435,0.00004163192,0.00003030435],"study_design_scores_gemma":[0.0005950805,0.00008228931,0.0000330024,0.0000971237,0.0001346516,0.000100461,0.00002999214,0.0146559,0.9839019,0.0001010511,0.0000231081,0.0002454381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978468,0.0001913862,0.001015122,0.0001081764,0.00003208534,0.0001736604,0.00003225418,0.00004671299,0.0005538234],"genre_scores_gemma":[0.9939333,0.00002046498,0.005774589,0.00002696492,0.0001049958,0.00001019634,0.00005511879,0.00002956678,0.0000448685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462091,"threshold_uncertainty_score":0.9219458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265073391614662,"score_gpt":0.2561000158054648,"score_spread":0.2334492818893182,"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."}}