{"id":"W2617065982","doi":"10.1039/c7an00594f","title":"A high-performance enzyme entrapment platform facilitated by a cationic polymer for the efficient electrochemical sensing of ethanol","year":2017,"lang":"en","type":"article","venue":"The Analyst","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Chemistry; Cationic polymerization; Polymer; Biomolecule; Alcohol dehydrogenase; Detection limit; Electrochemistry; Immobilized enzyme; Graphene; Chemical engineering; Materials science; Ethanol; Nanotechnology; Chromatography; Organic chemistry; Enzyme; Electrode","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":[0.0001598069,0.0005321205,0.0001771891,0.0003282646,0.0001365863,0.0003516636,0.000327779,0.0005448592,0.0007036143],"category_scores_gemma":[0.0001410315,0.0002387478,0.00023691,0.0001786557,0.0001543896,0.0003319859,0.0003165947,0.000402384,0.0003883483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292208,"about_ca_system_score_gemma":0.0003440933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007065423,"about_ca_topic_score_gemma":0.001147228,"domain_scores_codex":[0.9998934,0.00001031857,0.000008211366,0.00003197533,0.00003692854,0.00001906456],"domain_scores_gemma":[0.9999586,0.000004682178,0.00001024036,0.000003657839,0.00001022692,0.00001247738],"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":[0.00002330535,0.00001770058,0.00004086009,0.00002977878,0.000004521628,0.00004380526,0.000005253461,0.00007240362,0.9964059,0.00008722531,0.00005285198,0.003216446],"study_design_scores_gemma":[0.000006218023,0.00007227048,0.000494291,0.000002573046,0.00001157471,0.0001543336,0.00000382638,0.001223809,0.9963328,0.00002041514,0.001671733,0.000006213387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279213,0.005193578,0.06315333,0.0003029056,0.0001577881,0.00009626005,0.000260526,0.0004808816,0.002433456],"genre_scores_gemma":[0.9665847,0.001621675,0.02492986,0.00008141523,0.000020419,0.0000402657,0.0003869154,0.00002647694,0.00630832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007065423,"threshold_uncertainty_score":0.002388716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008732671074879132,"score_gpt":0.2106880098725707,"score_spread":0.2019553387976916,"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."}}