{"id":"W4403249882","doi":"10.1016/j.ygyno.2024.07.317","title":"3D organoid models for predicting drug response in platinum-sensitive, high-grade serous ovarian cancer","year":2024,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Organoid; Serous ovarian cancer; Ovarian cancer; Oncology; Serous fluid; Platinum; Drug response; Internal medicine; Epithelial ovarian cancer; Drug; Cancer; Pharmacology; Neuroscience; Biology","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":[0.0003320707,0.000755176,0.000672599,0.0008245297,0.0001917691,0.001342634,0.0005453502,0.001046146,0.001190422],"category_scores_gemma":[0.001442026,0.0004666579,0.001318301,0.0006429232,0.0002486927,0.0003703317,0.0007391262,0.0006253467,0.0004259428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977517,"about_ca_system_score_gemma":0.0006785189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009779729,"about_ca_topic_score_gemma":0.008385523,"domain_scores_codex":[0.9998579,0.00004040861,0.000009618688,0.00003219205,0.00004173022,0.00001804872],"domain_scores_gemma":[0.9996643,0.0001933251,0.00004324376,0.00002168428,0.00004797896,0.00002939486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000343802,0.00005467584,0.007500287,0.0001192271,0.0001311208,0.000276679,0.00006985354,0.9446483,0.003924764,0.000429703,0.001187802,0.04131374],"study_design_scores_gemma":[0.000009720893,0.00003963207,0.0008151587,0.0000131836,0.00002417384,0.00009308845,0.00002247413,0.9974171,0.000645545,0.0003692395,0.0005394922,0.00001117572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104234,0.006604899,0.4675337,0.0009865325,0.0002752594,0.0002723153,0.005699173,0.002517612,0.005687123],"genre_scores_gemma":[0.9637717,0.001454416,0.03134341,0.0001638485,0.00003473822,0.0001223682,0.001531613,0.00009698975,0.001480988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009779729,"threshold_uncertainty_score":0.0194456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960360736892899,"score_gpt":0.3244030361045668,"score_spread":0.2947994287356378,"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."}}