{"id":"W4241757664","doi":"10.2310/7290.2008.0012","title":"Lipoprotein Nanoplatform for Targeted Delivery of Diagnostic and Therapeutic Agents","year":2008,"lang":"en","type":"article","venue":"Molecular Imaging","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute; U.S. Public Health Service; Universiteit Leiden","keywords":"LDL receptor; Biophysics; Folate receptor; Chemistry; In vivo; Lipoprotein; Low-density lipoprotein; Cholesterol; Biochemistry; Cancer cell; Medicine; Internal medicine","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":[0.000171302,0.0002280366,0.0001447476,0.0001790305,0.0001194503,0.0001866102,0.0001907182,0.0003885705,0.001162343],"category_scores_gemma":[0.0001172102,0.0001155362,0.0001727789,0.00008668767,0.0001300192,0.0002139304,0.0001984644,0.0002858516,0.0005803323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677292,"about_ca_system_score_gemma":0.000179017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003853361,"about_ca_topic_score_gemma":0.0004767939,"domain_scores_codex":[0.9999197,0.00001037646,0.000006169917,0.00002121784,0.00003057666,0.00001190625],"domain_scores_gemma":[0.9999484,0.00001241226,0.0000111047,0.000005725723,0.00001319416,0.000009167936],"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":[0.00002717615,0.00001368169,0.00002820876,0.00004579912,0.000002598025,0.00003300486,0.00000736028,0.0001279171,0.9939489,0.0002509335,0.0001137103,0.005400657],"study_design_scores_gemma":[0.00000957909,0.0001614909,0.0002548452,0.000007059326,0.000007406123,0.0002043994,0.000004852225,0.001876925,0.9918465,0.00007506752,0.005546012,0.000005840422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755163,0.012634,0.2149637,0.0006304578,0.0003551965,0.0004018944,0.0008476087,0.0019118,0.01309233],"genre_scores_gemma":[0.9053708,0.003916023,0.07396467,0.0005334318,0.0000514587,0.0002234687,0.0007140629,0.0000854042,0.01514069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001162343,"threshold_uncertainty_score":0.003888428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00998948118636026,"score_gpt":0.2333113131109852,"score_spread":0.2233218319246249,"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."}}