{"id":"W4309191349","doi":"10.1158/1538-7445.panca22-a064","title":"Abstract A064: High-throughput organoid drug screening to identify molecular vulnerabilities in pancreatic cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Organoid; KRAS; Pancreatic cancer; Drug repositioning; Drug discovery; Cancer; CDKN2A; Medicine; Drug; Transcriptome; Targeted therapy; Biology; Computational biology; Bioinformatics; Oncology; Cancer research; Internal medicine; Pharmacology; Gene; Colorectal cancer; 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":[0.0007434424,0.0007407466,0.000841513,0.001403831,0.0003376804,0.0009429025,0.0004986585,0.0005696931,0.00172907],"category_scores_gemma":[0.0005274023,0.0002987996,0.0007342086,0.0009477306,0.0003529408,0.0002742692,0.0005966261,0.0006112902,0.001017589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005596176,"about_ca_system_score_gemma":0.0005367847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324495,"about_ca_topic_score_gemma":0.001834023,"domain_scores_codex":[0.9993804,0.0001458884,0.00004434494,0.0001385022,0.0002364278,0.00005447684],"domain_scores_gemma":[0.9994994,0.000144716,0.00009753826,0.0000991358,0.00009351072,0.00006555251],"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":[0.000205749,0.00008761534,0.002348861,0.00006224505,0.00003175963,0.00007245621,0.00001901347,0.002597378,0.9871606,0.00006652202,0.00031638,0.007031502],"study_design_scores_gemma":[0.00002743979,0.0009986439,0.008738733,0.000008484349,0.00004742373,0.0002913657,0.00003688886,0.01585511,0.9698516,0.0001666301,0.003945149,0.00003261279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175214,0.001948152,0.06170125,0.00024911,0.00006642075,0.0005747001,0.0121751,0.002763408,0.003000532],"genre_scores_gemma":[0.8828856,0.001581511,0.09260943,0.0002168381,0.00001703879,0.0006566005,0.01625556,0.0002866278,0.005490693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00172907,"threshold_uncertainty_score":0.005784333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354162529900986,"score_gpt":0.3802400730100134,"score_spread":0.3448238200199149,"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."}}