{"id":"W2013132226","doi":"10.1117/12.382028","title":"&lt;title&gt;Next fundamental steps for optical DNA biosensors&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biosensor; Figure of merit; Nucleic acid; DNA; Nanotechnology; Selectivity; DNA–DNA hybridization; Chemistry; Monolayer; Sensitivity (control systems); Computational biology; Materials science; Combinatorial chemistry; Biology; Optoelectronics; Biochemistry; Engineering; Electronic engineering","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":[0.001824993,0.0006891869,0.0004003555,0.0005285159,0.0005621939,0.002702106,0.0009453682,0.001301919,0.02583946],"category_scores_gemma":[0.001189315,0.0004546835,0.0004971263,0.0002911757,0.000937224,0.003397584,0.0005768138,0.002779095,0.01241525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231592,"about_ca_system_score_gemma":0.001411973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009283092,"about_ca_topic_score_gemma":0.00142453,"domain_scores_codex":[0.9994844,0.00008142318,0.00003168184,0.00004824762,0.0002870451,0.00006716135],"domain_scores_gemma":[0.9995798,0.00008427055,0.00003131794,0.00004777693,0.0001736134,0.00008316591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004605623,0.0004822743,0.0007210122,0.001549268,0.00003883175,0.0002749735,0.000259914,0.001941585,0.4847721,0.1206675,0.1123555,0.2764765],"study_design_scores_gemma":[0.00003498001,0.0005862843,0.0004419432,0.0001670987,0.00001993628,0.0003379483,0.0001105349,0.004252387,0.2724803,0.0222642,0.6992499,0.00005437895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07214807,0.1243732,0.4401587,0.106069,0.03045228,0.001340355,0.00214947,0.005532422,0.2177764],"genre_scores_gemma":[0.1716925,0.06115781,0.523277,0.01050387,0.00449802,0.0005764501,0.001616208,0.001451679,0.2252264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02583946,"threshold_uncertainty_score":0.08644158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009876255302843124,"score_gpt":0.2414068289866511,"score_spread":0.2315305736838079,"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."}}