{"id":"W2884953712","doi":"","title":"Nanotechnology as a Platform for Personalized Cancer Therapy","year":2017,"lang":"en","type":"article","venue":"UBC Faculty of Medicine medical journal","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cancer therapy; Personalized medicine; Cancer; Medicine; Cancer treatment; Intensive care medicine; Nanotechnology; Computer science; Bioinformatics; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006895866,0.0001352005,0.0003588552,0.00008416718,0.0002631338,0.00001609931,0.0009135701,0.0002459931,0.001415002],"category_scores_gemma":[0.0007987081,0.00009246926,0.000114418,0.00004399656,0.0005634683,0.000063261,0.00004692202,0.0005537077,0.000004540031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003749808,"about_ca_system_score_gemma":0.0001023646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005048569,"about_ca_topic_score_gemma":0.00002519301,"domain_scores_codex":[0.9987153,0.0000185029,0.0003753986,0.00009124703,0.000558509,0.000241087],"domain_scores_gemma":[0.999002,0.0000809078,0.0001822645,0.0003636631,0.0001279479,0.0002431941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002009313,0.00005087389,0.0002707233,0.00005559156,0.0003630197,0.00004191167,0.0009160621,0.00007118509,0.005529881,0.003420152,0.09043138,0.8986483],"study_design_scores_gemma":[0.01230372,0.0004034686,0.0006706626,0.0007677586,0.00005150232,0.0004330439,0.0002878346,0.01499093,0.003117431,0.002707988,0.9640382,0.0002274493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4848167,0.0555247,0.1967493,0.2391698,0.005460942,0.001322653,0.00005211703,0.0004824547,0.01642137],"genre_scores_gemma":[0.9662672,0.02767655,0.002384188,0.001628411,0.001009872,0.00005243899,0.00002725087,0.00004781543,0.0009062607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8984209,"threshold_uncertainty_score":0.9994978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108138525814932,"score_gpt":0.3519445735683186,"score_spread":0.3008631883101693,"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."}}