{"id":"W2060265983","doi":"10.1021/ac035143t","title":"Electrochemical Biosensing Platforms Using Platinum Nanoparticles and Carbon Nanotubes","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":1058,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"","keywords":"Platinum nanoparticles; Biosensor; Glucose oxidase; Carbon nanotube; Chemistry; Nanoparticle; Nafion; Glassy carbon; Platinum; Cyclic voltammetry; Microelectrode; Nanotechnology; Electrode; Electrochemistry; Chemical engineering; Materials science; Organic chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006966252,0.0002395533,0.0002728814,0.0000213268,0.00005740888,0.00004059706,0.00006416068,0.000210934,0.00004352517],"category_scores_gemma":[0.0001191596,0.0002149684,0.00006567893,0.0002160615,0.0001147953,0.00004568655,0.00001875552,0.0002822996,0.000002611499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008186133,"about_ca_system_score_gemma":0.00001561939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003795569,"about_ca_topic_score_gemma":7.638502e-7,"domain_scores_codex":[0.9987456,0.000005167153,0.0002642439,0.0002731136,0.0001692685,0.0005425648],"domain_scores_gemma":[0.9994975,0.00007410492,0.00002088934,0.0001612369,0.00002830589,0.0002179102],"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":[0.000007167967,0.00001496773,0.0004893971,0.00005162791,0.00003774209,0.000009983751,0.00001226476,0.00003042203,0.9990691,0.0001869184,0.00002051245,0.00006992518],"study_design_scores_gemma":[0.0001954463,0.000009960051,0.00001923936,0.00002333452,0.00004442252,0.0001181528,0.00003969409,0.06379247,0.9347219,0.0005703625,0.0001782373,0.0002867499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918621,0.0003435666,0.00004087378,0.00001733012,0.00002115245,0.00004065927,0.000001135693,0.0001608539,0.007512396],"genre_scores_gemma":[0.9989776,0.00003197621,0.000747099,0.00002613245,0.00008077791,9.183071e-7,0.000003766512,0.00003336117,0.00009834399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06434715,"threshold_uncertainty_score":0.8766158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009349241653986743,"score_gpt":0.2063041745057824,"score_spread":0.1969549328517956,"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."}}