{"id":"W2910573029","doi":"10.1016/j.nano.2018.12.010","title":"Nanoliposome targeting in breast cancer is influenced by the tumor microenvironment","year":2019,"lang":"en","type":"article","venue":"Nanomedicine Nanotechnology Biology and Medicine","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Doxorubicin; Immunohistochemistry; Breast cancer; Medicine; Metastatic breast cancer; Cancer research; Tumor microenvironment; Lymphatic system; Cancer; In vivo; Bioluminescence imaging; Pathology; Lung cancer; Targeted therapy; Ex vivo; Trastuzumab; Chemotherapy; Internal medicine; Biology; Transfection; Cell culture","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006054817,0.0003356122,0.000839408,0.00036331,0.0001427636,0.000002928662,0.0002907673,0.0004107929,0.00164782],"category_scores_gemma":[0.00009855374,0.0001800852,0.00005634299,0.0005093388,0.002153104,0.00004430721,0.0002062056,0.001003007,0.00007406123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028262,"about_ca_system_score_gemma":0.00009784711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074595,"about_ca_topic_score_gemma":0.00001430378,"domain_scores_codex":[0.9976732,0.00008658403,0.0005919241,0.0006459743,0.0002608802,0.0007414982],"domain_scores_gemma":[0.9989868,0.0002226626,0.0001571502,0.0003951602,0.00006502766,0.000173217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004840894,0.00007859564,0.459794,0.0001122834,0.0000874412,0.00004578249,0.0002633486,2.317425e-7,0.5179188,0.0004005777,0.01134664,0.00946819],"study_design_scores_gemma":[0.01865662,0.004354403,0.4018125,0.001837646,0.0002789233,0.003512936,0.002363698,0.0002445556,0.04472952,0.001931886,0.5194542,0.0008231386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7807665,0.02400047,0.00000425925,0.1939926,0.0002584256,0.0006207654,0.00004556089,0.00004452851,0.0002669248],"genre_scores_gemma":[0.9677252,0.01072103,0.00004525572,0.01865753,0.0002410429,0.00008854104,0.00005936681,0.0000238214,0.002438236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5081075,"threshold_uncertainty_score":0.9992648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007004922085461352,"score_gpt":0.2928444225802159,"score_spread":0.2858395004947545,"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."}}