{"id":"W4401804210","doi":"10.1021/acs.biomac.4c00814","title":"Peptide-Based Biomimetic Condensates via Liquid–Liquid Phase Separation as Biomedical Delivery Vehicles","year":2024,"lang":"en","type":"review","venue":"Biomacromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Peptide; Chemistry; Phase (matter); Chromatography; Liquid phase; Chemical engineering; Liquid liquid; Materials science; Nanotechnology; Organic chemistry; Biochemistry; Engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002860635,0.0009770975,0.001197451,0.0005025026,0.0001451612,0.0001832011,0.0007329524,0.001125837,0.0001204742],"category_scores_gemma":[0.00008173742,0.0008078465,0.00113622,0.0004707332,0.0004462349,0.000009796912,0.0003252602,0.000302652,0.001810339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008132058,"about_ca_system_score_gemma":0.0009271961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005470387,"about_ca_topic_score_gemma":0.00001213002,"domain_scores_codex":[0.9962899,0.0002852334,0.001017957,0.001348068,0.0004126642,0.0006461979],"domain_scores_gemma":[0.9982712,0.00004638687,0.0003482373,0.0008352467,0.0001858477,0.0003131197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005825748,0.0005106422,1.475905e-7,0.00507992,0.001133017,0.0005148355,0.00002717399,5.932874e-7,0.7906581,0.00002429295,0.01408397,0.1873847],"study_design_scores_gemma":[0.0006009877,0.004377042,6.628963e-8,0.002944106,0.001372789,0.0002720391,0.00001505809,0.00003916747,0.1574752,0.00001657434,0.8319607,0.0009262231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06063364,0.9366454,0.0005235591,0.00006894379,0.0006665076,0.0006824065,0.0005149015,0.0001081888,0.0001564275],"genre_scores_gemma":[0.01766882,0.9731305,0.0002180706,0.0003210099,0.0007502355,0.0002413383,0.006759624,0.0001958078,0.0007145671],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8178768,"threshold_uncertainty_score":0.9994372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826009672798034,"score_gpt":0.3627882503687929,"score_spread":0.3345281536408126,"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."}}