{"id":"W4297959030","doi":"","title":"Silica nanoparticules as peptide delivery vehicles: drug loading and surface chemistry challenges.","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Drug delivery; Peptide; Chemistry; Drug; Nanotechnology; Materials science; Pharmacology; Organic chemistry; Biochemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358623,0.0004090288,0.0006550982,0.0002084557,0.0003333449,0.001318104,0.0004310256,0.001328485,0.001819767],"category_scores_gemma":[0.0008348576,0.0002573348,0.0002802783,0.000164954,0.000625139,0.001399101,0.0006177376,0.001148339,0.001386764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006166782,"about_ca_system_score_gemma":0.0006133716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000508621,"about_ca_topic_score_gemma":0.0008750216,"domain_scores_codex":[0.9997039,0.00006387861,0.00001361822,0.00006250261,0.0001155106,0.00004053257],"domain_scores_gemma":[0.9996274,0.000173251,0.00003862604,0.00001946152,0.00009607509,0.00004526919],"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":[0.0001871625,0.0001010085,0.0001913183,0.001250828,0.0000301435,0.0002587875,0.000156159,0.001168831,0.919829,0.00599691,0.002659017,0.06817092],"study_design_scores_gemma":[0.00005364279,0.001667324,0.001122451,0.0001874579,0.00006650041,0.001309153,0.0002675469,0.007127452,0.8852912,0.006020194,0.09683625,0.00005092188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4551874,0.3822016,0.1013218,0.01843924,0.002616512,0.0005607634,0.0003794476,0.0007425817,0.03855059],"genre_scores_gemma":[0.765881,0.1623895,0.03452642,0.002504273,0.001142214,0.0003399764,0.0003704203,0.0002230479,0.03262306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001819767,"threshold_uncertainty_score":0.007185221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199214058200074,"score_gpt":0.3156753187646653,"score_spread":0.2736831781826646,"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."}}