{"id":"W2966222635","doi":"10.11159/icbb19.02","title":"Nanotechnologies for Advanced Drug Delivery Systems","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug delivery; Computer science; Systems engineering; Nanotechnology; Engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006700123,0.0008538187,0.0006528831,0.00132816,0.0005616821,0.001437586,0.0008513579,0.001473656,0.02213482],"category_scores_gemma":[0.0006861384,0.0003715071,0.0004659365,0.0006554293,0.0009453835,0.001764063,0.001381804,0.003135048,0.0130415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072917,"about_ca_system_score_gemma":0.0005929851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001765121,"about_ca_topic_score_gemma":0.0003658674,"domain_scores_codex":[0.9993161,0.0000902898,0.00004384175,0.00009388366,0.0004054653,0.00005035967],"domain_scores_gemma":[0.9997879,0.00006701013,0.00003027396,0.00002832731,0.00006427478,0.0000223219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005370393,0.00008880268,0.0001070875,0.002427418,0.00002946788,0.0004210742,0.0002077146,0.001404481,0.1504557,0.5623618,0.05518935,0.2272533],"study_design_scores_gemma":[0.00002019457,0.00006281307,0.00006056728,0.0002128334,0.000007949329,0.0004010194,0.00001945183,0.001028031,0.02879505,0.04324762,0.9261243,0.00002020076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005805653,0.4146313,0.2385289,0.02030018,0.02924768,0.0009260027,0.0008450888,0.001811673,0.2879035],"genre_scores_gemma":[0.09162109,0.3171941,0.2592626,0.0153736,0.008302652,0.002420575,0.001251032,0.000760906,0.3038134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02213482,"threshold_uncertainty_score":0.07404834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047934595122087,"score_gpt":0.2279612991101777,"score_spread":0.2174819531589568,"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."}}