{"id":"W4225620001","doi":"10.1021/acsmacrolett.2c00046","title":"Glycopolymer–Cell-Penetrating Peptide (CPP) Conjugates for Efficient Epidermal Growth Factor Receptor (EGFR) Silencing","year":2022,"lang":"en","type":"article","venue":"ACS Macro Letters","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Glycopolymer; Small interfering RNA; Internalization; Epidermal growth factor receptor; Raft; Chemistry; Peptide; Epidermal growth factor; Biophysics; Cell-penetrating peptide; Conjugate; Molecular biology; Biochemistry; Receptor; Polymerization; Biology; RNA; Polymer","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"],"consensus_categories":[],"category_scores_codex":[0.0001826622,0.0002450104,0.000191159,0.00006088696,0.0004183772,0.00005379478,0.0003881749,0.00006687346,0.0001628516],"category_scores_gemma":[0.00006961925,0.0002596716,0.0001765719,0.00008728533,0.00006906361,0.000006631398,0.0002606157,0.0001705789,0.00002246832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005368891,"about_ca_system_score_gemma":0.0000612374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000962658,"about_ca_topic_score_gemma":0.000007412174,"domain_scores_codex":[0.9983453,0.0000898771,0.0003224917,0.0005386233,0.0002024011,0.0005013529],"domain_scores_gemma":[0.9993278,0.00006648109,0.0001622342,0.000292188,0.00006234119,0.00008895183],"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":[0.0001211907,0.00004465153,0.001005829,0.00003228624,0.00004791889,0.000005538143,0.0002582068,0.0009732408,0.9696822,0.00001102847,0.02737303,0.0004448942],"study_design_scores_gemma":[0.0006438455,0.0004086891,0.0002298117,0.0000107888,0.00001970049,0.00001425702,0.0006473526,0.0002481574,0.9914392,0.000005316704,0.0059697,0.0003631311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956616,0.0004865998,0.001252306,0.001269336,0.000546434,0.00035101,0.000194322,0.00002788493,0.0002104821],"genre_scores_gemma":[0.9913234,0.00002803854,0.0005577989,0.006787712,0.000362935,0.0001705961,0.0003050745,0.00004415218,0.0004203135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02175706,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049435853006583,"score_gpt":0.2309554101488024,"score_spread":0.2204610516187366,"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."}}