{"id":"W1509977047","doi":"10.1002/0471683779.ch2","title":"Metal‐Labeled DNA on Surfaces","year":2004,"lang":"en","type":"other","venue":"","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 Saskatchewan","funders":"","keywords":"DNA; Metal; Chemistry; Computational biology; Materials science; Biology; Biochemistry; Metallurgy","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":[0.0002017347,0.0004383271,0.0003314303,0.0002554493,0.0002044845,0.0004562252,0.0006674099,0.0009477436,0.006939973],"category_scores_gemma":[0.0003254727,0.0003239272,0.0003035349,0.0002301768,0.0002987347,0.0005271688,0.000487968,0.0008567974,0.004213032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541609,"about_ca_system_score_gemma":0.0001262641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863094,"about_ca_topic_score_gemma":0.0001793954,"domain_scores_codex":[0.999665,0.00004606453,0.00001262718,0.0001063522,0.0001244479,0.00004547344],"domain_scores_gemma":[0.9999037,0.000029493,0.0000182914,0.0000139439,0.00002476247,0.00000988414],"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":[0.00006217461,0.00002696139,0.00009494086,0.0006751375,0.00002704532,0.0002439186,0.00008611378,0.0005730285,0.9587715,0.006245845,0.003006164,0.03018718],"study_design_scores_gemma":[0.00002050879,0.000135131,0.0002401284,0.00004735904,0.0000174781,0.0001818147,0.0000273479,0.001610279,0.9162066,0.001053461,0.08044144,0.00001839521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.424879,0.0917362,0.238952,0.004932733,0.007346239,0.0004759667,0.001266937,0.003644304,0.2267667],"genre_scores_gemma":[0.8103149,0.03035803,0.06590732,0.002461155,0.0006429706,0.0004136408,0.001372004,0.0002969574,0.08823314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006939973,"threshold_uncertainty_score":0.02321655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007869805517505107,"score_gpt":0.2637603410654862,"score_spread":0.2558905355479811,"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."}}