{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005292419,0.0003632901,0.0006685989,0.00005244811,0.001156972,0.00048097,0.0008000823,0.0001846412,0.0003965674],"category_scores_gemma":[0.00021842,0.0003232551,0.00007943394,0.00006125854,0.0001002417,0.0009374985,0.0001574574,0.00009079432,0.0001620373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662774,"about_ca_system_score_gemma":0.0002481602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259602,"about_ca_topic_score_gemma":0.0005403819,"domain_scores_codex":[0.9971206,0.000241634,0.0006751909,0.0007718654,0.0003095975,0.0008811639],"domain_scores_gemma":[0.9972526,0.0002859022,0.0006928169,0.00121027,0.000317122,0.0002412391],"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":[0.0007056565,0.0001040781,0.0005155453,0.0001143713,0.00002499127,0.000004925714,0.0007280803,0.00002127523,0.9897567,0.0009415003,0.00008075999,0.007002119],"study_design_scores_gemma":[0.002222514,0.0002030779,0.003800955,0.0001222715,0.00001877354,9.266712e-7,0.000129307,0.00002340617,0.9835954,0.004913155,0.004586688,0.0003834869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879817,0.001724907,0.0001102448,0.005315099,0.002334651,0.001439306,0.0007050026,0.0003679178,0.00002117973],"genre_scores_gemma":[0.98329,0.0008249715,0.01281338,0.00116037,0.0005668074,0.001202034,0.00002339462,0.00008309486,0.00003597138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270313,"threshold_uncertainty_score":0.999922,"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."}}