{"id":"W2616006690","doi":"10.1002/adhm.201700467","title":"Self‐Assembled Nanoparticles from Phenolic Derivatives for Cancer Therapy","year":2017,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Australian Research Council; Medical Research Council; University of Melbourne; Australian National Fabrication Facility; Commonwealth Scientific and Industrial Research Organisation; Australian Synchrotron; Ontario Centres of Excellence","keywords":"Prodrug; In vivo; Ethylene glycol; Nanoparticle; Nanomedicine; Cisplatin; In vitro; PEG ratio; Materials science; Drug delivery; Drug; Pharmacology; Nanotechnology; Cancer cell; Cancer; Chemistry; Biochemistry; Medicine; Chemotherapy; Organic chemistry","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":[0.0001089548,0.0002392469,0.0001193894,0.0001535401,0.00009601969,0.0001831473,0.0001782557,0.0002849197,0.001420883],"category_scores_gemma":[0.00006525547,0.0001451431,0.0001688119,0.00008660546,0.0001008741,0.0001958642,0.0001412158,0.0003783572,0.0006122643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245844,"about_ca_system_score_gemma":0.0001483344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588197,"about_ca_topic_score_gemma":0.0005260369,"domain_scores_codex":[0.9999603,0.000006817818,0.000001975029,0.000008681222,0.00001348535,0.000008688371],"domain_scores_gemma":[0.9999768,0.000003609756,0.000007313421,0.000002392698,0.000004474221,0.000005439472],"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":[0.00003293566,0.00003070826,0.0000381848,0.0001005437,0.000007577354,0.00004696341,0.00001266125,0.0003851856,0.9903167,0.0004797891,0.0003057438,0.008242947],"study_design_scores_gemma":[0.00001891367,0.0002059147,0.0003258689,0.000008782407,0.00001845659,0.0001525681,0.000005836702,0.002070977,0.9780005,0.0001623811,0.01902304,0.000006787715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8340604,0.05538539,0.07916274,0.001423715,0.0005184834,0.0002212419,0.0004641266,0.001490427,0.02727346],"genre_scores_gemma":[0.9619212,0.007093752,0.01747595,0.0002435377,0.00006517491,0.00004814587,0.000243645,0.0000744098,0.01283417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001420883,"threshold_uncertainty_score":0.004753351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569473880236487,"score_gpt":0.3496538051733045,"score_spread":0.3039590663709397,"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."}}