{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002949771,0.0007153115,0.0003466276,0.0005200288,0.0002431118,0.0003762756,0.0007611779,0.0007775489,0.0006631757],"category_scores_gemma":[0.0007241167,0.0004424188,0.0002678485,0.0003238925,0.0002311811,0.0005817342,0.0003441969,0.0004794505,0.00056767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005548185,"about_ca_system_score_gemma":0.0001946366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004934333,"about_ca_topic_score_gemma":0.0007923265,"domain_scores_codex":[0.9996442,0.00003881661,0.00003158183,0.0001177113,0.0001337015,0.00003399502],"domain_scores_gemma":[0.9997038,0.00009573524,0.00005260477,0.00002519039,0.00009112159,0.00003154533],"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":[0.00001421712,0.000008667631,0.00004340578,0.00002375039,0.00000367414,0.00002795071,0.000005772687,0.00008436616,0.9969295,0.00007370094,0.00003165823,0.002753361],"study_design_scores_gemma":[0.00000309357,0.00004948022,0.0001544071,0.000002076128,0.000006247019,0.00009193008,0.000004176803,0.0009987104,0.9978099,0.00005121161,0.0008252328,0.000003392208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.796427,0.006392064,0.1863962,0.0007651383,0.0003484465,0.0003831385,0.0006753902,0.001276663,0.007336006],"genre_scores_gemma":[0.8015463,0.003207715,0.187607,0.000270567,0.00006553963,0.0002677238,0.0007434837,0.00006779622,0.006224003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007775489,"threshold_uncertainty_score":0.004025459,"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."}}