{"id":"W1893187500","doi":"10.1002/wnan.1308","title":"Learning from biology: synthetic lipoproteins for drug delivery","year":2014,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute","keywords":"In vivo; Nanomedicine; Scavenger receptor; Drug delivery; LDL receptor; Drug discovery; Computational biology; Nanotechnology; Targeted drug delivery; Lipoprotein; Apolipoprotein B; Drug; Pharmacology; Chemistry; Biology; Bioinformatics; Biochemistry; Nanoparticle; Cholesterol; Materials science; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010831,0.0006113074,0.0004628095,0.001004072,0.000374183,0.001821335,0.0004133431,0.001239666,0.003215452],"category_scores_gemma":[0.0009670606,0.0003701926,0.0006051712,0.0004654391,0.001156537,0.002659629,0.001104943,0.00239033,0.003015154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009040836,"about_ca_system_score_gemma":0.0008213534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003397601,"about_ca_topic_score_gemma":0.000356423,"domain_scores_codex":[0.9995686,0.000103766,0.00003322533,0.00007087508,0.0001863464,0.00003706797],"domain_scores_gemma":[0.9996997,0.0001100914,0.00004602502,0.00002872103,0.00007116717,0.00004434105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002730262,0.0002088529,0.0008442237,0.003386594,0.00008259233,0.0007205257,0.0006075849,0.001822342,0.3040578,0.132266,0.02602708,0.5297033],"study_design_scores_gemma":[0.00007205516,0.0007056313,0.000546541,0.0005243087,0.0000646493,0.001821957,0.0001854635,0.002672349,0.2471114,0.04170262,0.7044961,0.0000968986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03883979,0.4096142,0.4471265,0.02446578,0.005467325,0.0005208659,0.0006188356,0.002104563,0.07124218],"genre_scores_gemma":[0.2973875,0.3932483,0.2198069,0.01305101,0.002979011,0.0008289031,0.001127576,0.0006048536,0.0709659],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003215452,"threshold_uncertainty_score":0.01075679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672496401856795,"score_gpt":0.3115480482985077,"score_spread":0.2848230842799398,"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."}}