{"id":"W2269042829","doi":"10.1038/nchem.2420","title":"Transfer of molecular recognition information from DNA nanostructures to gold nanoparticles","year":2016,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":249,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Nanotechnology; DNA nanotechnology; DNA; Template; Chemistry; DNA origami; Nanoparticle; Colloidal gold; Nanostructure; DNA sequencing; Scaffold; Sequence (biology); Materials science; Computer science","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":[0.0001803835,0.0002814055,0.0001775844,0.0002047258,0.0001659956,0.0002715196,0.0004112661,0.000447739,0.001448109],"category_scores_gemma":[0.0003627083,0.0002034568,0.0002220978,0.0001031474,0.000232621,0.0003268356,0.0002828961,0.0004637778,0.0005664509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005157627,"about_ca_system_score_gemma":0.0001943873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005579176,"about_ca_topic_score_gemma":0.0007021754,"domain_scores_codex":[0.9998831,0.00001240309,0.000006147033,0.00003306411,0.00003077561,0.00003456281],"domain_scores_gemma":[0.999879,0.00005301294,0.00001711694,0.00001928364,0.00001336738,0.00001819652],"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":[0.0000523722,0.00001704852,0.00005508801,0.00005090195,0.000003923449,0.00005185974,0.00003587162,0.000159895,0.9956278,0.0005013996,0.0001273827,0.00331649],"study_design_scores_gemma":[0.000004076805,0.00002455013,0.0001207228,0.000001221355,0.000001808411,0.00002236357,0.000003822378,0.0004350206,0.998769,0.00004844695,0.0005674412,0.000001528338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686552,0.001105442,0.02009157,0.0004887219,0.000144171,0.00006188198,0.0001443432,0.0003665021,0.008942192],"genre_scores_gemma":[0.9863176,0.0003187268,0.005159444,0.0001648376,0.00002385964,0.00002932705,0.0001624155,0.00003161878,0.007792141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001448109,"threshold_uncertainty_score":0.004844368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003342845786960422,"score_gpt":0.2225643856912792,"score_spread":0.2192215399043188,"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."}}