{"id":"W2909287770","doi":"10.1002/adhm.201801313","title":"Oil Core–PEG Shell Nanocarriers for In Vivo MRI Imaging","year":2019,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"","keywords":"Nanocarriers; PEGylation; Ethylene glycol; In vivo; PEG ratio; Materials science; Nanotechnology; Dispersity; Nanocapsules; Biophysics; Polyethylene glycol; Chemistry; Drug delivery; Chemical engineering; Nanoparticle; Organic chemistry; Polymer chemistry","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":[0.001102865,0.0003297173,0.0006573073,0.0001660716,0.0001385577,0.0001090477,0.0004045995,0.0001126638,0.001001874],"category_scores_gemma":[0.0001411183,0.0003317232,0.0000735377,0.0002400317,0.00009002172,0.0005838242,0.0001182551,0.00009311445,0.0005754646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597564,"about_ca_system_score_gemma":0.0002574371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005110799,"about_ca_topic_score_gemma":0.000171012,"domain_scores_codex":[0.9966968,0.0001835378,0.0008766414,0.0008200015,0.0003327694,0.001090207],"domain_scores_gemma":[0.9983122,0.0002669895,0.000304317,0.0006933383,0.0001967352,0.0002263983],"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":[0.0005365658,0.00003746286,0.001104772,0.0005672894,0.000002553775,0.00001476853,0.0002833388,0.0002968196,0.9935067,0.00163044,0.0002246866,0.00179456],"study_design_scores_gemma":[0.00191874,0.0001458599,0.0001389629,0.0002680333,0.000007730396,0.000008957463,0.000368124,0.0001000537,0.9889768,0.001147773,0.006526495,0.0003925032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922945,0.0004546175,0.00006408502,0.001631486,0.003907434,0.0006892315,0.000558311,0.0002121295,0.0001881847],"genre_scores_gemma":[0.9913733,0.00009148704,0.005527126,0.001765863,0.0001656956,0.0003182939,0.00003404172,0.00008425011,0.0006399351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006301808,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448102303598527,"score_gpt":0.2889189765503769,"score_spread":0.2744379535143917,"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."}}