{"id":"W2254099994","doi":"10.1038/srep11464","title":"Preclinical optimization of a broad-spectrum anti-bladder cancer tri-drug regimen via the Feedback System Control (FSC) platform","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; William Osler Health System","funders":"National Natural Science Foundation of China","keywords":"Bladder cancer; Drug; Regimen; In vivo; Medicine; Chemotherapy; Cancer; Cell culture; Broad spectrum; Cancer research; Combination therapy; Cell; Pharmacology; Oncology; Biology; Internal medicine; Chemistry; Genetics","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":[0.0003501032,0.000340037,0.0003479483,0.0003021236,0.0001291339,0.0003281444,0.000256991,0.0003106792,0.001207867],"category_scores_gemma":[0.0002272454,0.0001444719,0.0003570903,0.0001642302,0.0002497289,0.0002217716,0.0002148636,0.000568132,0.0001591439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231474,"about_ca_system_score_gemma":0.0003800514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008301293,"about_ca_topic_score_gemma":0.001144148,"domain_scores_codex":[0.9997841,0.00002313407,0.00001530691,0.00004633173,0.00008748758,0.00004380923],"domain_scores_gemma":[0.9998955,0.00001816605,0.00002948196,0.00001173947,0.00002417758,0.00002096982],"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":[0.0001705045,0.0001346859,0.0001992514,0.00007142965,0.000008608853,0.00002899269,0.00001347583,0.001607459,0.9919856,0.0001467492,0.0001154622,0.005517759],"study_design_scores_gemma":[0.0000206936,0.001977596,0.0009099931,0.000004776583,0.00002088149,0.00005323688,0.000008672418,0.005092708,0.9905731,0.00003628664,0.001293698,0.000008421193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820055,0.0008533897,0.0145154,0.0001045505,0.00005784098,0.0001900226,0.0003277815,0.000320346,0.001625243],"genre_scores_gemma":[0.986856,0.000492501,0.01076448,0.0000533374,0.000006716919,0.0001313554,0.0002708593,0.00002530994,0.001399401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001207867,"threshold_uncertainty_score":0.004040718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766832156861794,"score_gpt":0.265354363688193,"score_spread":0.247686042119575,"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."}}