{"id":"W2471959940","doi":"10.1158/0008-5472.can-15-3435","title":"Preclinical Efficacy of Bevacizumab with CRLX101, an Investigational Nanoparticle–Drug Conjugate, in Treatment of Metastatic Triple-Negative Breast Cancer","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Bevacizumab; Medicine; Triple-negative breast cancer; Chemotherapy; Tumor hypoxia; Metastasis; Cancer research; Metastatic breast cancer; Breast cancer; Camptothecin; Cancer; Oncology; Internal medicine; Radiation therapy; Biology","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":[0.0002303127,0.0004112796,0.0003785562,0.0001801073,0.0001213589,0.0002003068,0.0002686908,0.0003736022,0.0009359064],"category_scores_gemma":[0.0001220425,0.0001833505,0.0002429793,0.0001611612,0.0002003525,0.0002447708,0.0001093614,0.0007166728,0.0001684246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284799,"about_ca_system_score_gemma":0.0004340229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002362221,"about_ca_topic_score_gemma":0.002927659,"domain_scores_codex":[0.9998709,0.00002834691,0.000008621097,0.00002498545,0.00003316397,0.00003408657],"domain_scores_gemma":[0.9999129,0.00001245301,0.00002236644,0.000005871345,0.00001168157,0.0000346835],"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":[0.001560939,0.001226959,0.0002838882,0.0001097245,0.00003454138,0.00006307149,0.00003786266,0.0009390592,0.9888147,0.0001017657,0.0003440025,0.006483554],"study_design_scores_gemma":[0.000437823,0.02075613,0.00336652,0.00001012282,0.0001040354,0.0002332525,0.00002068144,0.004124924,0.967692,0.00003775546,0.003203347,0.00001346625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941876,0.002155487,0.001149908,0.0001486821,0.00007183023,0.0001228657,0.000329626,0.00005887074,0.001775157],"genre_scores_gemma":[0.9952148,0.001048998,0.001281425,0.00004672433,0.0000145731,0.00007128748,0.0005194228,0.00001449788,0.001788276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002362221,"threshold_uncertainty_score":0.004696906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0894083182333501,"score_gpt":0.3872218378570113,"score_spread":0.2978135196236612,"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."}}