{"id":"W4282833866","doi":"10.1021/acsbiomaterials.2c00354","title":"Patient-Derived Organoid Model in the Prediction of Chemotherapeutic Drug Response in Colorectal Cancer","year":2022,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Government of Shandong Province; Mitacs","keywords":"Irinotecan; Oxaliplatin; Colorectal cancer; Medicine; Cancer; Drug; Receiver operating characteristic; Organoid; Oncology; Precision medicine; Internal medicine; Area under the curve; Pharmacology; Cancer research; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00227779,0.0007550706,0.001175189,0.001276147,0.0002513468,0.001254926,0.0003886094,0.0006828318,0.0007023404],"category_scores_gemma":[0.0027456,0.000320193,0.000753969,0.0008353664,0.0004373365,0.0006503335,0.0007536034,0.0009608933,0.0003226856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150877,"about_ca_system_score_gemma":0.0008261344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279459,"about_ca_topic_score_gemma":0.002625515,"domain_scores_codex":[0.9986942,0.0005211403,0.00009898793,0.00030323,0.0002879539,0.0000944682],"domain_scores_gemma":[0.9985461,0.000536204,0.0003125896,0.0002204509,0.0002539545,0.0001307055],"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":[0.00665796,0.0008220244,0.2638701,0.001340445,0.0008587268,0.001698764,0.0007815833,0.04482817,0.5785356,0.001567142,0.001960209,0.0970793],"study_design_scores_gemma":[0.0002086796,0.008686087,0.2133108,0.0001792036,0.001861957,0.007351812,0.001318625,0.3447672,0.3961896,0.002654704,0.02305209,0.0004191871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050215,0.009406521,0.08060045,0.0003574627,0.0001590546,0.0002914913,0.001596726,0.0005154121,0.002051421],"genre_scores_gemma":[0.981975,0.001857683,0.01453212,0.0001122283,0.00001620272,0.00009626401,0.00102179,0.00002423674,0.0003644033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002279459,"threshold_uncertainty_score":0.01204628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375916739777468,"score_gpt":0.246667117385366,"score_spread":0.2329079499875913,"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."}}