{"id":"W2896450660","doi":"10.1016/j.stem.2018.09.016","title":"A Comprehensive Human Gastric Cancer Organoid Biobank Captures Tumor Subtype Heterogeneity and Enables Therapeutic Screening","year":2018,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":723,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Biobank; Organoid; Biology; Cancer; Cancer research; Tumor heterogeneity; Computational biology; Bioinformatics; 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":[0.001294423,0.0004751875,0.0006628569,0.002660333,0.0007220446,0.001182227,0.0007178861,0.0007928533,0.005232809],"category_scores_gemma":[0.001483013,0.0002962117,0.0004258442,0.001710491,0.0004344621,0.0004566031,0.001751898,0.0006989161,0.003690636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930425,"about_ca_system_score_gemma":0.002099601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003926597,"about_ca_topic_score_gemma":0.006224929,"domain_scores_codex":[0.9994057,0.00007375932,0.00006667947,0.000188628,0.0001990547,0.0000660658],"domain_scores_gemma":[0.9990772,0.0001168267,0.00008743298,0.0003197171,0.0002631725,0.000135648],"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":[0.002277118,0.0002611298,0.07751208,0.0009012535,0.0003059361,0.002779048,0.001029544,0.002157459,0.7369911,0.003386053,0.034607,0.1377923],"study_design_scores_gemma":[0.0003610112,0.001021063,0.2357876,0.0005838125,0.0009509628,0.01587703,0.001912447,0.004447388,0.2337774,0.005159462,0.4999721,0.0001497803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6607568,0.01271896,0.09532274,0.001959329,0.0003013155,0.001560888,0.2027055,0.002326712,0.02234781],"genre_scores_gemma":[0.5577132,0.005554101,0.08616335,0.001463454,0.0001397239,0.001632439,0.3356536,0.000492938,0.01118708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005232809,"threshold_uncertainty_score":0.01750547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913123097117156,"score_gpt":0.2519028414477077,"score_spread":0.2327716104765361,"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."}}