{"id":"W2929624912","doi":"10.11159/nddte19.104","title":"Cetuximab-Conjugates Nanoparticles for the Treatment of Triple Negative Breast Cancer","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Recent Advances in Nanotechnology","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cetuximab; Triple-negative breast cancer; Conjugate; Breast cancer; Nanoparticle; Cancer; Cancer research; Medicine; Internal medicine; Materials science; Nanotechnology; Colorectal cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001314895,0.0003646698,0.0004051943,0.0001721246,0.0001552311,0.0002442449,0.0002437571,0.0005163208,0.001106374],"category_scores_gemma":[0.0001217538,0.0001188281,0.0002594218,0.0001194225,0.000122474,0.0002428669,0.0002353963,0.0005348901,0.0003508232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004189816,"about_ca_system_score_gemma":0.0002363755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036965,"about_ca_topic_score_gemma":0.002114362,"domain_scores_codex":[0.9998496,0.00001785152,0.000008415863,0.00003583377,0.00006394259,0.00002442579],"domain_scores_gemma":[0.9999609,0.000007301054,0.00001046214,0.000002337348,0.00001015613,0.000008879913],"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":[0.0001740939,0.0001311388,0.0001490976,0.0005598349,0.00001888517,0.0001719935,0.00004476559,0.000721442,0.9855869,0.0003120093,0.0006018103,0.01152799],"study_design_scores_gemma":[0.00005221215,0.0009485444,0.001516682,0.00002944553,0.00006002336,0.0005591979,0.00001702369,0.003711171,0.9773259,0.00007481263,0.01568916,0.00001587385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140707,0.05378529,0.01571961,0.0009052466,0.000611554,0.0004513981,0.0006474422,0.0003146422,0.01349405],"genre_scores_gemma":[0.9686543,0.01058235,0.01056649,0.0004220264,0.00009126571,0.0001691563,0.0004212424,0.00006216626,0.009031123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001106374,"threshold_uncertainty_score":0.00370121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011716438352018,"score_gpt":0.2663492951825308,"score_spread":0.2562321307990106,"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."}}