{"id":"W2589961504","doi":"10.1038/aps.2016.166","title":"Dual-targeted hybrid nanoparticles of synergistic drugs for treating lung metastases of triple negative breast cancer in mice","year":2017,"lang":"en","type":"article","venue":"Acta Pharmacologica Sinica","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Pfizer","keywords":"Doxorubicin; Triple-negative breast cancer; Cancer research; Biodistribution; Breast cancer; Lung cancer; Medicine; Nanomedicine; Metastasis; Cytotoxicity; Metastatic breast cancer; Targeted therapy; Cancer; In vitro; Chemotherapy; Pharmacology; Pathology; Chemistry; Internal medicine; Materials science; Nanoparticle; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001708692,0.0003646553,0.0003060805,0.0002819077,0.00007815186,0.0001425894,0.0001958972,0.0004371179,0.0006394041],"category_scores_gemma":[0.00006542065,0.0001901377,0.0002587349,0.00009681268,0.0001108747,0.000185784,0.0001625326,0.0004284653,0.0002075549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029593,"about_ca_system_score_gemma":0.0001735726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003561231,"about_ca_topic_score_gemma":0.0005824083,"domain_scores_codex":[0.9999007,0.00001500618,0.000006186905,0.00002679438,0.00003044538,0.00002092997],"domain_scores_gemma":[0.9999615,0.000004958405,0.000009882723,0.000003794681,0.000007386332,0.0000124888],"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":[0.0001151476,0.00004623729,0.00003828993,0.00004423477,0.000007668239,0.00001978853,0.000007033753,0.0001748872,0.9973407,0.00007474011,0.00008742597,0.002043784],"study_design_scores_gemma":[0.00004196597,0.0008321729,0.0006104691,0.000007093403,0.00003119874,0.0001508974,0.000005189273,0.00222209,0.9927659,0.00003879822,0.003287231,0.00000693866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966517,0.004984233,0.02242272,0.0003629968,0.0001081572,0.0001983852,0.0007093332,0.000340941,0.004356138],"genre_scores_gemma":[0.9722856,0.002334804,0.01890314,0.0001751682,0.0000307541,0.0003090459,0.0005189819,0.00004967322,0.005392864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006394041,"threshold_uncertainty_score":0.002139032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542562205434517,"score_gpt":0.3270055854491312,"score_spread":0.301579963394786,"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."}}