{"id":"W4213241068","doi":"10.1109/nanomed49242.2019.9130603","title":"Kimdaejung Convention Center","year":2019,"lang":"en","type":"article","venue":"","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung; College of Medicine, Seoul National University; University of California, Riverside; University of Electronic Science and Technology of China; Hong Kong Polytechnic University; Korea Institute of Science and Technology; Harbin Institute of Technology; Seoul National University; Chung-Ang University; University of Toronto; Fonds Québécois de la Recherche sur la Nature et les Technologies; Sungkyunkwan University; National Research Foundation of Korea; University of Seoul; Kyung Hee University; Purdue University; Chinese Academy of Sciences; Samsung; National Natural Science Foundation of China; European Commission; Kunming University of Science and Technology; Gwangju Institute of Science and Technology; Sichuan University","keywords":"Population; Cancer; Cancer therapy; Function (biology); Disease; Drug; Computer science; Artificial neural network; Medicine; Artificial intelligence; Pharmacology; Biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005449117,0.0005929917,0.000317088,0.0007818018,0.001980603,0.002209728,0.0005876063,0.001082843,0.1749446],"category_scores_gemma":[0.0008930524,0.0002507578,0.0003753114,0.0005649668,0.0006721728,0.001205681,0.001983732,0.001669737,0.03922278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282514,"about_ca_system_score_gemma":0.003165604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888447,"about_ca_topic_score_gemma":0.005598464,"domain_scores_codex":[0.9996313,0.00003426435,0.00002498856,0.0001440026,0.00009940431,0.00006603933],"domain_scores_gemma":[0.9993176,0.00007954073,0.00006424227,0.0000902462,0.0001641329,0.0002842165],"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":[0.0006871391,0.0003970993,0.0172098,0.0004523699,0.00005067499,0.002391058,0.0003925519,0.001024263,0.01053599,0.0777724,0.3831933,0.5058933],"study_design_scores_gemma":[0.00009700443,0.0001672648,0.008960336,0.0001824879,0.00003492166,0.001370311,0.0003892094,0.002020742,0.003626186,0.01168947,0.9713951,0.00006686425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07670122,0.01521485,0.01726778,0.08212381,0.01689239,0.0002583305,0.005289924,0.00140427,0.7848474],"genre_scores_gemma":[0.1786055,0.007746011,0.01151981,0.004367623,0.00151574,0.0002076662,0.0020379,0.0004006707,0.793599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1749446,"threshold_uncertainty_score":0.585248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990468693800961,"score_gpt":0.3037955429525945,"score_spread":0.2738908560145848,"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."}}