{"id":"W2321761901","doi":"","title":"Electrochemical Sensing of DNA with Porous Silicon Layers","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Porous silicon; Biosensor; Silicon; Guanine; Electrochemistry; Detection limit; Materials science; Nanostructure; DNA; Ruthenium; Porosity; Nanotechnology; Chemistry; Electrode; Optoelectronics; Chromatography; Organic chemistry; Physical chemistry; Biochemistry; Gene; Nucleotide","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":[0.000289014,0.0003155172,0.0002192003,0.0003299573,0.0001124844,0.0003387951,0.0005777185,0.0004409159,0.0006923088],"category_scores_gemma":[0.0007594737,0.0002765995,0.0002643749,0.0003039919,0.0003181933,0.0003622769,0.0003773283,0.000425046,0.0002600072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346317,"about_ca_system_score_gemma":0.0002190808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006519606,"about_ca_topic_score_gemma":0.0009480985,"domain_scores_codex":[0.9997042,0.00003910479,0.00002163637,0.00006216444,0.0001347565,0.00003802998],"domain_scores_gemma":[0.9997113,0.0001490094,0.0000465562,0.00002044956,0.00005124406,0.00002139477],"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":[0.0000284142,0.000009264731,0.0001114954,0.00006449596,0.000009369508,0.00004293489,0.00001686045,0.0003147195,0.9943992,0.0003172096,0.00006780851,0.004618169],"study_design_scores_gemma":[0.00001321564,0.0001058301,0.0003772549,0.000009272137,0.000009930744,0.0001412296,0.00001322067,0.004146403,0.9930354,0.0001373749,0.002001337,0.000009481398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041373,0.007269459,0.1789238,0.0005556368,0.0002921066,0.000142928,0.0006682302,0.001283203,0.006727287],"genre_scores_gemma":[0.9013627,0.002690691,0.09129772,0.0002288492,0.00005185502,0.00008294828,0.0004817122,0.00002208471,0.003781362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006923088,"threshold_uncertainty_score":0.003153503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004989562136826136,"score_gpt":0.2473217310270169,"score_spread":0.2423321688901908,"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."}}