{"id":"W3163566284","doi":"10.3390/cancers13102481","title":"Enhancing Clinical Translation of Cancer Using Nanoinformatics","year":2021,"lang":"en","type":"review","venue":"Cancers","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanomedicine; Medicine; Nanorobotics; Drug delivery; Cancer therapy; Cancer; Nanotechnology; Medical physics; Computer science; Artificial intelligence; Internal medicine; Nanoparticle","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124588,0.0006837646,0.0007333786,0.001931488,0.0002193253,0.001472083,0.0008601201,0.001518794,0.00531581],"category_scores_gemma":[0.001639655,0.0002462862,0.0006743335,0.001011327,0.0005918872,0.001292334,0.000988734,0.001902705,0.002741764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000781388,"about_ca_system_score_gemma":0.001330543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006955105,"about_ca_topic_score_gemma":0.001112777,"domain_scores_codex":[0.9996595,0.0001038944,0.00003091931,0.00004563246,0.0001315695,0.00002850279],"domain_scores_gemma":[0.9993095,0.0004352824,0.00005452262,0.00003307541,0.0001373357,0.00003012981],"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":[0.00004988207,0.00008143324,0.0002102883,0.01310785,0.00009227594,0.0002199998,0.0001009914,0.0009384679,0.003888178,0.02546102,0.02344081,0.9324089],"study_design_scores_gemma":[0.00002210472,0.00009482967,0.0005033442,0.003535112,0.0000778634,0.0007758965,0.00005753471,0.0005949173,0.003327235,0.009624186,0.9813614,0.00002548026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006246966,0.9793583,0.004790355,0.0021553,0.0009865663,0.00006138897,0.0001154255,0.00008622642,0.01182168],"genre_scores_gemma":[0.007454148,0.9829493,0.00425964,0.001605952,0.0005390682,0.0000663852,0.0002184856,0.00001942809,0.002887598],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00531581,"threshold_uncertainty_score":0.01778316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301624729971325,"score_gpt":0.4592313750958457,"score_spread":0.3290689020987132,"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."}}