{"id":"W3085819931","doi":"10.1093/dote/doaa087.86","title":"367 TOWARDS PERSONALIZED INDUCTION THERAPY FOR ESOPHAGEAL ADENOCARCINOMA: ORGANOIDS DERIVED FROM ENDOSCOPIC BIOPSY RECAPITULATE THE PRE-TREATMENT TUMOR","year":2020,"lang":"en","type":"article","venue":"Diseases of the Esophagus","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Organoid; Medicine; Adenocarcinoma; Exome sequencing; Personalized medicine; Esophageal adenocarcinoma; Biopsy; Exome; Targeted therapy; Liquid biopsy; KRAS; Cancer research; Pathology; Oncology; Internal medicine; Bioinformatics; Mutation; Cancer; Biology; Gene; Colorectal cancer","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":[0.0007648166,0.0003911753,0.0004537351,0.0004332815,0.0003510895,0.0008063887,0.000375098,0.0005946672,0.00190358],"category_scores_gemma":[0.0003715152,0.0002028424,0.0005803384,0.0002617225,0.000325872,0.0004247113,0.0006197959,0.001434638,0.001050473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003558467,"about_ca_system_score_gemma":0.0003438034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008216434,"about_ca_topic_score_gemma":0.001415784,"domain_scores_codex":[0.9996283,0.0001050946,0.00004248699,0.00006969384,0.0001161231,0.00003830189],"domain_scores_gemma":[0.9996289,0.00006603961,0.00005078642,0.000120704,0.00006699705,0.00006662786],"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":[0.0002303881,0.0001384905,0.00141751,0.0001326024,0.00003069428,0.0002320392,0.0001197114,0.001131888,0.9875135,0.0005128448,0.0007515124,0.007788816],"study_design_scores_gemma":[0.00006173225,0.00157894,0.008653859,0.00006358102,0.0001296585,0.001532144,0.0002255214,0.006078986,0.9462171,0.0003709411,0.03505355,0.00003401605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532808,0.005785635,0.1243458,0.0008494463,0.0005042513,0.000912011,0.003881973,0.0007632709,0.009676787],"genre_scores_gemma":[0.9482782,0.002444811,0.03812189,0.0004153359,0.00003631675,0.0004427095,0.003873098,0.0001161514,0.00627155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00190358,"threshold_uncertainty_score":0.00636816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211424700714843,"score_gpt":0.3019982683340964,"score_spread":0.2698840213269479,"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."}}