{"id":"W1976209542","doi":"10.1021/ac302217u","title":"Aptamer-Based Impedimetric Sensor for Bacterial Typing","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aptamer; Salmonella enteritidis; Chemistry; Salmonella; Systematic evolution of ligands by exponential enrichment; Escherichia coli; Citrobacter freundii; Pseudomonas aeruginosa; Bacteria; Typing; Microbiology; Enterobacteriaceae; Molecular biology; Biology; Biochemistry; Gene","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":[0.0005014036,0.0008153143,0.0006058972,0.0006479071,0.000173853,0.0004018574,0.001063699,0.001264198,0.0007508461],"category_scores_gemma":[0.0007027103,0.0003987504,0.0002974252,0.0003956259,0.0002941901,0.0006184231,0.0005056616,0.001280473,0.00106937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005074111,"about_ca_system_score_gemma":0.0002870538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002395052,"about_ca_topic_score_gemma":0.0004126799,"domain_scores_codex":[0.9989034,0.0001808801,0.0000525403,0.000232077,0.0005714076,0.0000596184],"domain_scores_gemma":[0.9996909,0.00008323545,0.00004233901,0.00002853757,0.0001111745,0.00004384577],"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":[0.00002149121,0.00001521225,0.00006709943,0.00005639088,0.000005360268,0.00002121714,0.00000766781,0.0001539479,0.9951567,0.00009893416,0.0001008824,0.004295064],"study_design_scores_gemma":[0.00000465753,0.0001445108,0.0003231748,0.000005285298,0.00001142894,0.0003435161,0.000007510864,0.005964451,0.9893286,0.00009855108,0.003754011,0.000014273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3170277,0.01497588,0.6538657,0.001100123,0.0009103126,0.0004617526,0.0009317366,0.004380077,0.006346716],"genre_scores_gemma":[0.4714783,0.005604803,0.5107499,0.0008145923,0.0001277651,0.0002364691,0.0009603989,0.0001001955,0.009927496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001264198,"threshold_uncertainty_score":0.00368154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648598052438534,"score_gpt":0.2961180968193612,"score_spread":0.2796321162949759,"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."}}