{"id":"W2514917557","doi":"10.1002/9781119053859.ch2","title":"Supramolecular Chemistry with DNA","year":2016,"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":"McGill University","funders":"","keywords":"DNA; Nanotechnology; DNA nanotechnology; Supramolecular chemistry; Molecule; Polymer; Chemistry; Small molecule; Nuclease; Self-assembly; Dispersity; Monomer; A-DNA; Drug delivery; Combinatorial chemistry; Materials science; Biochemistry; Polymer chemistry; Organic chemistry","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":[0.000357244,0.0006859602,0.0007541609,0.000611012,0.0006032932,0.001274487,0.001056588,0.001029864,0.01729418],"category_scores_gemma":[0.0005579402,0.0003479906,0.0004042249,0.0006567229,0.001370024,0.001544425,0.002700619,0.002057612,0.01044493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007731093,"about_ca_system_score_gemma":0.0003431418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00013923,"about_ca_topic_score_gemma":0.0001747683,"domain_scores_codex":[0.9994946,0.0001014481,0.00003633965,0.000124189,0.0001819205,0.00006145491],"domain_scores_gemma":[0.999881,0.00002928756,0.00002266204,0.00002638377,0.00001401712,0.00002656677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001186472,0.0001640052,0.0001890109,0.002479187,0.0001261149,0.0006465397,0.0005906922,0.003098424,0.2159312,0.4761023,0.03902392,0.2615301],"study_design_scores_gemma":[0.00007932108,0.0002394734,0.0001213968,0.0001501032,0.00001722624,0.000413627,0.00003792534,0.00199405,0.07436936,0.07474973,0.8477712,0.00005666363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04838239,0.1882665,0.3586715,0.01280847,0.01884236,0.001271172,0.001739014,0.006530862,0.3634878],"genre_scores_gemma":[0.4996708,0.08529367,0.2096166,0.01035718,0.004557875,0.003652009,0.002035982,0.0007228137,0.184093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01729418,"threshold_uncertainty_score":0.05785477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003067183028878442,"score_gpt":0.2360146299684563,"score_spread":0.2329474469395779,"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."}}