{"id":"W2419579544","doi":"10.1007/978-1-4939-1280-3_17","title":"Quantitative Measurement of Proteolytic Rates with Quantum Dot-Peptide Substrate Conjugates and Förster Resonance Energy Transfer","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Förster resonance energy transfer; Proteases; Substrate (aquarium); Peptide; Quantum dot; Conjugate; Nanotechnology; Bioanalysis; Proteolytic enzymes; Fluorescence; Chemistry; Materials science; Biophysics; Combinatorial chemistry; Enzyme; Biochemistry; Biology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003155815,0.000212904,0.0004967619,0.00009398034,0.00004656488,0.00002446261,0.0001855084,0.0001051148,0.00004051909],"category_scores_gemma":[0.0003462227,0.0001401003,0.00004036806,0.0001008204,0.0005758922,0.00005626649,0.00003426748,0.00008699837,0.000002687534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001665301,"about_ca_system_score_gemma":0.00004657173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003901376,"about_ca_topic_score_gemma":0.0001540245,"domain_scores_codex":[0.99625,0.002441059,0.0004160829,0.0004366357,0.0001442075,0.0003119765],"domain_scores_gemma":[0.9991338,0.0003314759,0.00009231648,0.0002574156,0.0001378325,0.00004719249],"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":[0.0003209385,0.00003261262,0.0007728772,0.00005632122,0.00001422514,0.000003360979,0.0002403858,0.00002174573,0.9357578,0.0607444,0.000001549519,0.002033846],"study_design_scores_gemma":[0.000436497,0.0009499305,0.0006895903,0.0001385184,0.00001894407,0.0000059612,0.00007781756,0.00109843,0.9860685,0.00944419,0.0008637939,0.0002077913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5818627,0.003298367,0.4142748,0.0001352178,0.00005258083,0.0001695446,0.000004404808,0.00001373598,0.0001885898],"genre_scores_gemma":[0.7647836,0.00009391394,0.2348834,0.0001168635,0.000007625625,0.00008021257,0.000001050172,0.00001826913,0.00001510101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1829208,"threshold_uncertainty_score":0.5713124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04282044086980287,"score_gpt":0.3250792466934407,"score_spread":0.2822588058236378,"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."}}