{"id":"W2404958887","doi":"10.1021/acs.nanolett.5b02123","title":"Controlling Hybridization Chain Reactions with pH","year":2015,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Directorate-General for Research and Innovation; Associazione Italiana per la Ricerca sul Cancro","keywords":"Concatemer; Chain reaction; Template; DNA; Rational design; Nanotechnology; Chemistry; Biophysics; Polymerization; DNA–DNA hybridization; Nanoreactor; Combinatorial chemistry; Materials science; Biochemistry; Gene; Biology; Polymer; Nanoparticle; Photochemistry; Organic chemistry","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":[0.0006078198,0.0006179225,0.0002230573,0.0001662119,0.000200332,0.0005081166,0.0004257419,0.0004488999,0.001343615],"category_scores_gemma":[0.0007756408,0.0003538356,0.0002002027,0.0002055553,0.0005753568,0.0006111792,0.0005069349,0.0007222886,0.0004817406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154013,"about_ca_system_score_gemma":0.0002555017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385119,"about_ca_topic_score_gemma":0.0004020923,"domain_scores_codex":[0.9995326,0.00008241759,0.00004943365,0.0001795636,0.00008520013,0.0000708632],"domain_scores_gemma":[0.9994878,0.0002061152,0.0001678243,0.00005789038,0.0000421908,0.00003820938],"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":[0.00005620674,0.00002234068,0.0001313505,0.00009293253,0.000006202155,0.0000388156,0.00007094607,0.0002668145,0.9950839,0.0008824777,0.00005537302,0.003292654],"study_design_scores_gemma":[0.00001404403,0.00007306121,0.0001278076,0.000003764578,0.000005856555,0.00004186188,0.000008489085,0.0007740033,0.9969652,0.0001030143,0.001875787,0.000007085757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914014,0.003084378,0.09210034,0.0005684986,0.0002127949,0.000340732,0.0002411507,0.0009205331,0.0111301],"genre_scores_gemma":[0.9733499,0.001442169,0.02226607,0.0002255752,0.00004236755,0.0001860306,0.00008541535,0.00009480477,0.002307637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001343615,"threshold_uncertainty_score":0.004494846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022721896145002,"score_gpt":0.2422328209415709,"score_spread":0.2320056019801209,"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."}}