{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000857307,0.0001389825,0.0001619221,0.00004645679,0.00008114302,0.000009021504,0.000101048,0.00005265462,0.000005990922],"category_scores_gemma":[0.0001118624,0.0001412852,0.00009850584,0.00005487517,0.0001056359,0.000004430364,0.00006139237,0.00004313256,9.718606e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007187919,"about_ca_system_score_gemma":0.00006107064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007066244,"about_ca_topic_score_gemma":0.000007465896,"domain_scores_codex":[0.9992198,0.00001889342,0.0001735257,0.0002609866,0.0001025355,0.000224254],"domain_scores_gemma":[0.9995368,0.00002257345,0.0000707585,0.0002224999,0.00008481068,0.00006255556],"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":[0.00005003659,0.00003059941,0.001325058,0.00003613218,0.00005413002,0.000001200901,0.00008453494,0.00002111117,0.9780012,0.00004826925,0.001914544,0.01843322],"study_design_scores_gemma":[0.001336212,0.00009350698,0.00514315,0.00002534829,0.0000609877,0.00005627423,0.00004475467,0.00026748,0.8105072,0.0001853649,0.1820233,0.0002563702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698327,0.02061956,0.008056736,0.00007888536,0.0008393727,0.0003818855,0.00002409321,0.00001139897,0.0001554154],"genre_scores_gemma":[0.9962814,0.0009572654,0.001211237,0.000638085,0.000658237,0.00006052266,0.00005088222,0.00003124917,0.0001111225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1801088,"threshold_uncertainty_score":0.5761442,"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."}}