{"id":"W4244517095","doi":"10.21203/rs.3.rs-144740/v1","title":"Patient-derived Tumor Xenograft and Organoid Models Established from Resected Pancreatic, Duodenal and Biliary Cancers","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Princess Margaret Cancer Foundation","keywords":"KRAS; MEK inhibitor; Organoid; Cancer research; Pancreatic cancer; Trametinib; MAPK/ERK pathway; Medicine; Adenocarcinoma; Pancreatic ductal adenocarcinoma; Phenotype; Cancer; Biology; Internal medicine; Gene; Kinase; Colorectal cancer","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":[0.0005240581,0.0003233193,0.0003148957,0.0003358771,0.0001726669,0.0003504408,0.0002482036,0.0003037364,0.002043389],"category_scores_gemma":[0.0002245934,0.000165087,0.0003293219,0.000310004,0.0001890147,0.0002760763,0.000262798,0.0008449483,0.0005519736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312538,"about_ca_system_score_gemma":0.0002085006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006316931,"about_ca_topic_score_gemma":0.0009012183,"domain_scores_codex":[0.9997512,0.00006099895,0.00003905802,0.00004919274,0.00005994334,0.00003964809],"domain_scores_gemma":[0.9996189,0.0001087741,0.00004725522,0.0001065471,0.00003724105,0.0000812052],"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":[0.001907425,0.0008609014,0.006923157,0.000188552,0.00003985672,0.0007272874,0.000243618,0.001812629,0.9806834,0.0009793043,0.000640948,0.004992937],"study_design_scores_gemma":[0.0002180191,0.01099291,0.02839634,0.00003847003,0.00008718488,0.004272099,0.0004132139,0.009354558,0.9338654,0.0002631257,0.01207249,0.00002627304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902253,0.0004827751,0.004664553,0.00004884684,0.00003843382,0.0002152574,0.002336734,0.00006822906,0.001919901],"genre_scores_gemma":[0.9873225,0.0004954028,0.005005463,0.00003433865,0.000006631771,0.0002320377,0.004601321,0.00002273708,0.002279543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002043389,"threshold_uncertainty_score":0.006835818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382157384210882,"score_gpt":0.3647246097787391,"score_spread":0.3109030359366302,"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."}}