{"id":"W2004565731","doi":"10.1021/nn501069c","title":"A Multifunctional Polymeric Nanotheranostic System Delivers Doxorubicin and Imaging Agents across the Blood–Brain Barrier Targeting Brain Metastases of Breast Cancer","year":2014,"lang":"en","type":"article","venue":"ACS Nano","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Extravasation; Doxorubicin; Blood–brain barrier; In vivo; Brain metastasis; Pathology; Cancer research; Breast cancer; Cancer; Medicine; Metastasis; Chemotherapy; Biology; Central nervous system; Internal medicine","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":[0.0000893346,0.0002760015,0.0001996888,0.0001626602,0.0001016608,0.0001592849,0.0001637388,0.0002884873,0.0003379195],"category_scores_gemma":[0.0001076921,0.000152052,0.0001502207,0.00009382469,0.0001704601,0.0001866638,0.0001633172,0.0002506012,0.0001519894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267513,"about_ca_system_score_gemma":0.0001967973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003875495,"about_ca_topic_score_gemma":0.0005464738,"domain_scores_codex":[0.9999462,0.000005949076,0.000003899613,0.00001932835,0.00001190462,0.00001261436],"domain_scores_gemma":[0.9999521,0.000005979028,0.0000183133,0.000004121733,0.000006384497,0.00001307233],"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":[0.00002478458,0.00001047961,0.00003367069,0.00002309699,0.000001756534,0.00002720875,0.000006439526,0.0000871431,0.9981332,0.0000547699,0.00002089301,0.001576529],"study_design_scores_gemma":[0.00002722756,0.0006655545,0.001182649,0.000006112706,0.00001810629,0.0003085862,0.000008442182,0.002721391,0.9925542,0.00003438061,0.002460072,0.00001323643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875701,0.001834875,0.009115216,0.0001194563,0.00002974955,0.00005077285,0.0000624125,0.0001595782,0.001057766],"genre_scores_gemma":[0.9896644,0.0007141195,0.008058779,0.00006614368,0.00001210782,0.00004989898,0.00008549553,0.00001154692,0.001337396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003875495,"threshold_uncertainty_score":0.001645207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00798257828381932,"score_gpt":0.2609809834618018,"score_spread":0.2529984051779825,"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."}}