{"id":"W2808814560","doi":"10.1039/c8cc03268h","title":"Quantitative synthesis of protein–DNA conjugates with 1 : 1 stoichiometry","year":2018,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Alberta Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Conjugate; DNA; Stoichiometry; Chemistry; Covalent bond; Combinatorial chemistry; Biophysics; Biochemistry; Biology; 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":[0.001385439,0.0008249706,0.000680026,0.0004616884,0.0003380178,0.0007009205,0.0005888324,0.0007782117,0.000926669],"category_scores_gemma":[0.00115622,0.0006108414,0.0002913803,0.0003908242,0.0005125917,0.000748896,0.0004734121,0.001195361,0.0008709013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005985184,"about_ca_system_score_gemma":0.000556836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002830064,"about_ca_topic_score_gemma":0.000844753,"domain_scores_codex":[0.9988517,0.0002978368,0.00008975139,0.0002727362,0.0004045819,0.00008337626],"domain_scores_gemma":[0.9993547,0.0002906431,0.0001206688,0.00007181815,0.0001167326,0.0000454843],"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":[0.00001555435,0.00001927054,0.00002524655,0.00007332527,0.000006465963,0.00001554556,0.00002648363,0.0002890376,0.9957659,0.000483425,0.00004998112,0.003229815],"study_design_scores_gemma":[0.000005576479,0.00006607929,0.00004936967,0.000002380664,0.000005901496,0.00002268479,0.000003329551,0.0008386598,0.9971665,0.0000876527,0.001746854,0.000004916676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3900106,0.00493596,0.5959785,0.0004749219,0.0002672771,0.0009936697,0.0007193075,0.001496087,0.005123595],"genre_scores_gemma":[0.5328951,0.002875603,0.4549513,0.0002333288,0.00005761612,0.0007642755,0.0006684935,0.0002515515,0.007302717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001385439,"threshold_uncertainty_score":0.007326961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148568081470164,"score_gpt":0.3109900866856457,"score_spread":0.289504405870944,"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."}}