{"id":"W2994763235","doi":"10.1021/acs.analchem.9b04803","title":"Electrochemical Quantitation of Supramolecular Excipient@Drug Complexation: A General Assay Strategy Based on Competitive Host Binding with Surface-Immobilized Redox Guest","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Supramolecular Chemistry and Complexes","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade de Macau","keywords":"Chemistry; Supramolecular chemistry; Cyclic voltammetry; Combinatorial chemistry; Excipient; Redox; Electrochemistry; Molecule; Competitive binding; Binding constant; Stereochemistry; Organic chemistry; Binding site; Chromatography; Electrode; Physical chemistry; Biochemistry; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002420705,0.0004930936,0.0006543057,0.0000403807,0.00009175351,0.0001026825,0.0004521078,0.0002724784,0.003999881],"category_scores_gemma":[0.0001788053,0.0004743948,0.0002801135,0.000444179,0.0002997085,0.00009992637,0.00005435173,0.000589068,0.00005374872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765074,"about_ca_system_score_gemma":0.0002452409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000237993,"about_ca_topic_score_gemma":0.000002054814,"domain_scores_codex":[0.997023,0.00006127077,0.0006124284,0.0008685187,0.0008516924,0.0005830841],"domain_scores_gemma":[0.9978768,0.0004347085,0.0003154417,0.0008141724,0.0003110236,0.0002478661],"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":[0.0005796722,0.0004427487,0.00411815,0.0004676273,0.0001628912,0.00004993536,0.00002238569,0.0007345597,0.9920719,0.001245317,0.00009679312,0.000007981461],"study_design_scores_gemma":[0.001984476,0.0001070287,0.00009171436,0.0002743946,0.0001331057,0.00003367543,0.0003251866,0.03466241,0.9611391,0.0000435322,0.0006489839,0.000556395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9110506,0.00004171978,0.0004754709,0.0001129759,0.00002494166,0.0001290566,0.00006381555,0.0000986801,0.08800276],"genre_scores_gemma":[0.9953572,0.000003441792,0.0008631477,0.00006935977,0.0001364821,0.00001644622,0.001198341,0.00006095704,0.002294634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08570813,"threshold_uncertainty_score":0.9997708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097503829721308,"score_gpt":0.2471915005597591,"score_spread":0.2362164622625461,"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."}}