{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004473025,0.0002015587,0.0004515566,0.0002496022,0.00004112057,0.00001362892,0.0002419229,0.00005753741,0.0005477961],"category_scores_gemma":[0.0001027162,0.0001287969,0.00005913488,0.0006744787,0.0006068646,0.0003091648,0.00002619977,0.0001668206,0.000009055852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008441775,"about_ca_system_score_gemma":0.0007401276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599296,"about_ca_topic_score_gemma":0.003617576,"domain_scores_codex":[0.997885,0.0001504713,0.0005458557,0.0003028881,0.0006319014,0.0004838305],"domain_scores_gemma":[0.9980466,0.0009320157,0.00008939821,0.0003550776,0.0003668462,0.0002100022],"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":[0.005636791,0.001042796,0.06086731,0.0004695565,0.0009190883,0.00003319863,0.00541078,0.01163923,0.8501094,0.0007200746,0.0003886725,0.06276311],"study_design_scores_gemma":[0.01314885,0.001007954,0.04795157,0.0008016431,0.00007193196,0.000007121266,0.0001821179,0.001301067,0.9337739,0.001241334,0.0002100968,0.0003024645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973084,0.000799606,0.00004171571,0.000256231,0.0001032801,0.0007522082,0.0006290526,0.00003589331,0.00007356102],"genre_scores_gemma":[0.9981948,0.000716645,0.0003227709,0.000006885363,0.00006888194,0.0004376279,0.000006531215,0.00005201202,0.0001939021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08366445,"threshold_uncertainty_score":0.5997984,"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."}}