{"id":"W2072257648","doi":"10.1007/s10989-012-9316-x","title":"A Convenient Approach to Prepare Topologically Segregated Bilayer Beads for One-Bead Two-Compound Combinatorial Peptide Libraries","year":2012,"lang":"en","type":"article","venue":"International Journal of Peptide Research and Therapeutics","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval","funders":"Banting Research Foundation","keywords":"Bead; Combinatorial chemistry; Reagent; Peptidomimetic; Bilayer; Peptide; Chemistry; Nanotechnology; Lipid bilayer; Materials science; Membrane; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008602986,0.0001233133,0.0002081011,0.0001247696,0.00009391977,0.0001455215,0.0004162895,0.0001005443,0.00001985836],"category_scores_gemma":[0.0002330073,0.00009477716,0.0001556177,0.00009953522,0.0001790099,0.00002423329,0.0001818204,0.0001680746,0.00000193059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006105826,"about_ca_system_score_gemma":0.00009270703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001449385,"about_ca_topic_score_gemma":0.000004836264,"domain_scores_codex":[0.9984914,0.0001041514,0.0003393715,0.0001830984,0.0005451977,0.0003367719],"domain_scores_gemma":[0.9984168,0.0001737519,0.0001266796,0.0001344956,0.0009002143,0.0002480094],"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":[0.002970941,0.001823526,0.0133978,0.00002891334,0.002009847,0.000005338962,0.0004518641,0.00003098896,0.9499512,0.01853823,0.002762436,0.008028866],"study_design_scores_gemma":[0.003608902,0.00188578,0.001860452,0.00010475,0.0001288285,0.0001417881,0.0009711795,0.0002087423,0.7256114,0.01145259,0.2535797,0.0004459269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922635,0.001119034,0.002883113,0.001248061,0.0002493081,0.0001977367,0.00003678521,0.000004759726,0.001997715],"genre_scores_gemma":[0.9942479,0.000261157,0.003346519,0.0002671009,0.001534656,0.00001651508,0.00003892778,0.00001567355,0.000271515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508173,"threshold_uncertainty_score":0.38649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08499255549971174,"score_gpt":0.3741536422945572,"score_spread":0.2891610867948455,"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."}}