{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005742397,0.0005384757,0.0006459828,0.00007593881,0.0005117684,0.0001554967,0.001030376,0.0006982525,0.000244717],"category_scores_gemma":[0.001050424,0.0006083046,0.0001904109,0.0001441469,0.0005528961,0.0001445774,0.001621527,0.001659795,0.0001944632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809965,"about_ca_system_score_gemma":0.0002213731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00034699,"about_ca_topic_score_gemma":0.0002683678,"domain_scores_codex":[0.9906053,0.006634606,0.0006937412,0.001130179,0.0003438399,0.0005923308],"domain_scores_gemma":[0.9931995,0.003025509,0.0006543701,0.001450752,0.001214874,0.0004549811],"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":[0.0004684961,0.002961185,0.01525416,0.006578566,0.001800207,0.0001612336,0.08766906,0.01438776,0.6893085,0.02610608,0.0142668,0.141038],"study_design_scores_gemma":[0.002012751,0.000001055083,0.0007308432,0.002545001,0.0003171627,0.00009176516,0.001211611,0.08055925,0.6780026,0.002574264,0.2304645,0.001489254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382054,0.01677025,0.0008949561,0.006416821,0.0004224778,0.000555206,0.00006050182,0.0003535347,0.03632085],"genre_scores_gemma":[0.9746472,0.009645923,0.002554324,0.0002398092,0.00008131502,0.00007220441,0.0001688676,0.00007545366,0.0125149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2161977,"threshold_uncertainty_score":0.9996368,"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."}}