{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001748822,0.000317039,0.001920937,0.00011053,0.0001040702,0.00008916106,0.0005541785,0.0002834576,0.001438985],"category_scores_gemma":[0.0002729631,0.0002685586,0.0003970634,0.00042248,0.0002441249,0.0002162938,0.0001003425,0.0002883722,0.00003625294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988454,"about_ca_system_score_gemma":0.004701056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005679818,"about_ca_topic_score_gemma":0.00009257568,"domain_scores_codex":[0.9965478,0.0004572838,0.001762313,0.0004353077,0.0004409672,0.0003563532],"domain_scores_gemma":[0.9974701,0.0003334024,0.001486925,0.0004765831,0.0001308736,0.0001020751],"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":[0.000005990636,0.00001031202,0.0000160421,0.03105973,0.00006134364,0.000007062743,0.0004506825,0.009696811,0.004678992,0.00007019882,0.0001202094,0.9538226],"study_design_scores_gemma":[0.0001860803,0.00004185628,0.000001431225,0.03453896,0.0007631147,0.00001701029,0.00005710614,0.004837368,0.002365404,0.000008402497,0.9565932,0.0005900721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001078562,0.9920023,0.002396225,0.00000334345,0.003810228,0.0003516526,0.00009664013,0.0000442182,0.0002168453],"genre_scores_gemma":[0.00002153308,0.9763908,0.02306099,0.00002994647,0.0003499305,0.00003156481,0.00001962154,0.00003894717,0.00005670306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.956473,"threshold_uncertainty_score":0.9999766,"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."}}