{"id":"W2952602334","doi":"","title":"Electrochemical biosensor for point of care cancer and disease detection","year":2010,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Aptamer; Potentiostat; Biosensor; Molecular recognition; Miniaturization; Chemistry; Nanotechnology; Small molecule; Electrode; Biophysics; Materials science; Electrochemistry; Biochemistry; Molecule; Biology; Molecular biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001991713,0.00009403996,0.0001279431,0.00002246398,0.00007076528,0.000017599,0.00007850817,0.0000766673,0.00002296623],"category_scores_gemma":[0.000106329,0.00008392863,0.00007607994,0.00009102842,0.00006757017,0.0000422304,0.00002062474,0.000138362,6.911711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001860436,"about_ca_system_score_gemma":0.0000222749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006440351,"about_ca_topic_score_gemma":0.00001109033,"domain_scores_codex":[0.999404,2.178516e-7,0.0001363205,0.0002301095,0.00007449358,0.0001549334],"domain_scores_gemma":[0.9995146,0.00002118101,0.0000722016,0.00006509465,0.0001891384,0.0001378025],"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":[0.00004697547,0.00002418225,0.001536834,0.000300692,0.00001638955,2.002326e-8,0.00006537673,1.201001e-8,0.9951358,0.001020308,0.00007031929,0.001783057],"study_design_scores_gemma":[0.0001716313,0.00001325122,0.0001309614,0.00001832629,0.00009412827,0.000001263543,0.00009837298,0.0002613828,0.9948379,0.001313883,0.002957518,0.000101357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986274,0.0002704478,0.00006760588,0.000331251,0.000007024314,0.00007617347,0.00001873996,0.00003922483,0.0005621928],"genre_scores_gemma":[0.9989004,0.00004281162,0.0004987133,0.00003537556,0.0001691402,0.0002078414,0.0000151355,0.00001361812,0.0001169939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002887199,"threshold_uncertainty_score":0.342251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004233931168981621,"score_gpt":0.2378460535655658,"score_spread":0.2336121223965842,"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."}}