{"id":"W2946907024","doi":"10.1200/jco.2019.37.15_suppl.3110","title":"Clinical, pathological and genetic predictors of patient-derived xenograft (PDX) engraftment in <i>EGFR</i>-mutated lung adenocarcinoma (LUAD).","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Adenocarcinoma; Biopsy; Pathological; Lung; Pathology; Lung cancer; Oncology; Internal medicine; 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":[0.0004195529,0.000115571,0.0001272408,0.0002776617,0.0001254627,0.0003136679,0.0001231326,0.0002278138,0.0009903258],"category_scores_gemma":[0.001189778,0.000079585,0.0001145187,0.0002092287,0.000201652,0.0001775461,0.0002331519,0.0002286431,0.0002095618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426233,"about_ca_system_score_gemma":0.00006860267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005718896,"about_ca_topic_score_gemma":0.0007262442,"domain_scores_codex":[0.9998676,0.00003542862,0.00001813521,0.00003625219,0.00002350506,0.00001912324],"domain_scores_gemma":[0.9991677,0.0003270437,0.0002621342,0.00004748212,0.00005184235,0.0001438137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004729529,0.00002378276,0.992657,0.000005735786,0.00001300774,0.0001203213,0.00002714316,0.0001591779,0.004791247,0.00001087538,0.00003473223,0.001683943],"study_design_scores_gemma":[0.000006467147,0.0002618642,0.9960318,0.000001917404,0.00001784729,0.0009634923,0.00005781171,0.0007875108,0.001716942,0.00001847516,0.0001339677,0.000001877877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999727,0.00004805885,0.00007309457,0.000004945739,6.08076e-7,0.000002114368,0.00006035599,0.000002227952,0.00008167995],"genre_scores_gemma":[0.9997981,0.00001156774,0.00005255066,0.000002585838,7.218815e-7,0.000001415887,0.00009699323,7.972977e-7,0.00003533462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009903258,"threshold_uncertainty_score":0.003313005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04465612019417261,"score_gpt":0.4419561616248546,"score_spread":0.397300041430682,"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."}}