{"id":"W2332967259","doi":"10.1021/jp205747z","title":"Electrochemical Growth of ZnO Nanobelt-Like Structures at 0 °C: Synthesis, Characterization, and in-Situ Glucose Oxidase Embedment","year":2011,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glucose oxidase; Wurtzite crystal structure; Transmission electron microscopy; Materials science; Scanning electron microscope; Nanotechnology; Chemical engineering; Biomolecule; In situ; Selected area diffraction; Electrochemistry; Micrometer; Chemistry; Biosensor; Zinc; Organic chemistry; Electrode; Optics; Composite material","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":[0.0001521699,0.0004852906,0.0003147058,0.0002069656,0.0001325401,0.0002524465,0.0004100965,0.0003153695,0.0004215022],"category_scores_gemma":[0.0002749324,0.0003240649,0.0001960321,0.0002783057,0.0001956833,0.0002319297,0.000170672,0.0003678148,0.0002040039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042398,"about_ca_system_score_gemma":0.0001818421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767214,"about_ca_topic_score_gemma":0.004096913,"domain_scores_codex":[0.9998552,0.000007645473,0.00001319531,0.00004812753,0.00005084876,0.00002491272],"domain_scores_gemma":[0.9998738,0.0000192396,0.00003976312,0.00001351077,0.00003268642,0.00002100597],"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":[0.00001137881,0.000003760244,0.00004819253,0.00001931914,0.000001141806,0.00001442741,0.000008046486,0.00003612164,0.9994386,0.00001693001,0.000008179547,0.0003938088],"study_design_scores_gemma":[0.000002983088,0.00001850927,0.0004824098,0.00000191192,0.000003080932,0.00002838855,0.000007989424,0.0005907055,0.9985979,0.00001049755,0.0002533441,0.000002204881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708373,0.001373839,0.02453688,0.00009014312,0.00008235758,0.00006832347,0.0007911618,0.0002938692,0.001926144],"genre_scores_gemma":[0.9687147,0.001031717,0.02840166,0.00003607539,0.000007865726,0.00005615232,0.0003621501,0.00006027621,0.001329458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001767214,"threshold_uncertainty_score":0.003513873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004861064064323586,"score_gpt":0.1784425240963098,"score_spread":0.1735814600319862,"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."}}