{"id":"W2068347875","doi":"10.1021/ac060533b","title":"Electrochemical Detection of Single-Nucleotide Mismatches Using an Electrode Microarray","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Electrode; Electrochemistry; Microarray; Nucleotide; Biochemistry; Gene; Gene expression","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":[0.0002715753,0.0006049085,0.0005102399,0.0003339027,0.0002284198,0.0004935106,0.0007290137,0.0009510453,0.001504873],"category_scores_gemma":[0.0007082617,0.0004012163,0.0002075114,0.0003319514,0.0001673236,0.0004430964,0.0003122828,0.0005515061,0.001128341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399192,"about_ca_system_score_gemma":0.0001806417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002555916,"about_ca_topic_score_gemma":0.0005520475,"domain_scores_codex":[0.9994116,0.0001076743,0.0000372356,0.0001820495,0.0002113447,0.00005000845],"domain_scores_gemma":[0.9996625,0.0001407882,0.00003370385,0.0000317052,0.0001003249,0.00003093603],"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":[0.0000166232,0.000007489426,0.00008162725,0.0000288838,0.000003856296,0.00002241786,0.00000686591,0.00008233276,0.9964795,0.00007441011,0.0001060989,0.003090037],"study_design_scores_gemma":[0.000003218187,0.00006173288,0.0005483914,0.000002647688,0.000007956631,0.0001230827,0.000008450346,0.002361906,0.9938411,0.00007529213,0.002959133,0.00000717571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6078193,0.005430142,0.3689737,0.001328885,0.0007088811,0.0002995755,0.001407457,0.004012089,0.01002004],"genre_scores_gemma":[0.6041839,0.003311949,0.3761957,0.0007138968,0.0001190091,0.000363715,0.001061647,0.0001022464,0.013948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001504873,"threshold_uncertainty_score":0.005034268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009519711927721951,"score_gpt":0.2492206920244581,"score_spread":0.2397009800967362,"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."}}