{"id":"W1965593580","doi":"10.1002/smll.201102413","title":"Self‐Assembling Peptide‐Based Nanoparticles for siRNA Delivery in Primary Cell Lines","year":2012,"lang":"en","type":"article","venue":"Small","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; McMaster University","keywords":"Peptide; Nanoparticle; Small interfering RNA; Amphiphile; RNA interference; Nanotechnology; Biophysics; Materials science; RNA; Chemistry; Biochemistry; Biology; Copolymer; Organic chemistry; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641268,0.0002923403,0.0002433542,0.0001993429,0.0001984113,0.0002272344,0.0002241236,0.0002882858,0.001014869],"category_scores_gemma":[0.0001321255,0.0002231645,0.0002096207,0.00012798,0.0001268415,0.000164029,0.0001592008,0.0004350243,0.0007862396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014751,"about_ca_system_score_gemma":0.0002215984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004881479,"about_ca_topic_score_gemma":0.001545485,"domain_scores_codex":[0.9998429,0.00002881827,0.00001496162,0.00002949363,0.00006387932,0.00001987021],"domain_scores_gemma":[0.9999033,0.00002848411,0.000012959,0.00001285731,0.00002506,0.00001732494],"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":[0.000008148916,0.000009122656,0.00001271704,0.00001563273,0.000001101026,0.00001451025,0.000008104097,0.00003721694,0.9993346,0.0000369209,0.00003154283,0.0004903359],"study_design_scores_gemma":[0.000005021353,0.00004284475,0.0001458745,0.00000100666,0.000003249012,0.00004644796,0.000002485508,0.0004629466,0.9982312,0.0000083482,0.001049524,0.000001158122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309005,0.002852155,0.05706833,0.0002397198,0.000108919,0.0003829627,0.0007493721,0.0005660481,0.00713184],"genre_scores_gemma":[0.9464676,0.001426779,0.04322185,0.0001016978,0.00001695695,0.0003089799,0.0009214402,0.00007757088,0.007457124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001014869,"threshold_uncertainty_score":0.003395021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339705807007592,"score_gpt":0.242994035868329,"score_spread":0.2195969777982531,"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."}}