{"id":"W2147184109","doi":"10.1021/co4000584","title":"High-Throughput Screening of One-Bead–One-Compound Peptide Libraries Using Intact Cells","year":2013,"lang":"en","type":"article","venue":"ACS Combinatorial Science","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Alberta","funders":"","keywords":"Chemistry; Peptide; Bead; Peptide library; High-throughput screening; Cell sorting; Biophysics; Cell; Combinatorial chemistry; Computational biology; Biochemistry; Peptide sequence; Biology; Gene","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":[0.0002811218,0.0001463968,0.0002541167,0.00005456548,0.0002107727,0.0001560908,0.0006042044,0.0001049291,0.00006613334],"category_scores_gemma":[0.00019187,0.0001383468,0.00009762459,0.000442825,0.0005889921,0.00005742374,0.0004277806,0.0000869603,0.000009921386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002404304,"about_ca_system_score_gemma":0.0001204201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009950178,"about_ca_topic_score_gemma":0.000004330574,"domain_scores_codex":[0.9984855,0.00003609058,0.0002908231,0.0004366343,0.0004069586,0.0003439979],"domain_scores_gemma":[0.9990729,0.00004444145,0.0001699475,0.000398838,0.0001776893,0.000136161],"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":[0.00001184899,0.0000888056,0.0007542046,0.00000835278,0.00002745318,3.016332e-7,0.00002273391,0.0000331423,0.9953927,0.002874881,0.00014142,0.0006441915],"study_design_scores_gemma":[0.0002617282,0.0000738645,0.0008880593,0.00002830531,0.00002833249,7.425099e-7,0.00004188002,0.0001104422,0.9939516,0.003927393,0.0005043325,0.0001833634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979957,0.0000901483,0.000864526,0.00008799657,0.0003777512,0.0001057742,0.000004544271,0.00001112591,0.0004624232],"genre_scores_gemma":[0.9939326,0.00002600579,0.005608711,0.00005869663,0.0003069161,0.000004657697,0.00000882824,0.0000122197,0.00004134722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004744185,"threshold_uncertainty_score":0.564162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834927206685834,"score_gpt":0.2380873979503032,"score_spread":0.2197381258834449,"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."}}