{"id":"W2807088563","doi":"10.1158/2159-8290.cd-18-0349","title":"Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":1094,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University Health Network; Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; Lustgarten Foundation","keywords":"Pancreatic cancer; Medicine; Precision medicine; Malignancy; Oncology; Chemotherapy; Cancer; Transcriptome; Gene expression profiling; Internal medicine; Bioinformatics; Cancer research; Biology; Pathology; Gene; Gene expression","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":[0.0003144769,0.0001876881,0.0004216776,0.000611683,0.0002168786,0.001018381,0.0001777962,0.0003600732,0.001394446],"category_scores_gemma":[0.0005846488,0.0001429181,0.0002535385,0.0007579976,0.0002938697,0.0002327301,0.0004837176,0.0007283093,0.0004756616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329684,"about_ca_system_score_gemma":0.0002694514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005260053,"about_ca_topic_score_gemma":0.001177045,"domain_scores_codex":[0.999744,0.00004126823,0.0000142681,0.00008623345,0.00008297262,0.00003123184],"domain_scores_gemma":[0.9996767,0.00008453397,0.00008754871,0.00003654473,0.00007217539,0.00004247896],"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":[0.001944622,0.0001098086,0.1132729,0.0003886434,0.0001173595,0.0005016614,0.0003133511,0.001959766,0.7499437,0.0008015236,0.008914051,0.1217326],"study_design_scores_gemma":[0.0001202158,0.001820389,0.5043321,0.0001982115,0.0003998376,0.003896671,0.001338644,0.01101403,0.3778327,0.003944642,0.09497899,0.0001235735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606889,0.01208124,0.01041284,0.002770866,0.0002462254,0.0001365017,0.006596033,0.0004081286,0.006659246],"genre_scores_gemma":[0.9799476,0.004895232,0.005703034,0.001349106,0.00008112482,0.00009208291,0.004682829,0.00009851601,0.003150452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394446,"threshold_uncertainty_score":0.004664898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869818411819338,"score_gpt":0.3906178003824897,"score_spread":0.3519196162642963,"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."}}