{"id":"W2136969752","doi":"10.1093/annonc/mdv045.12","title":"Development of Resistance Models to Tyrosine Kinase Inhibitors (TKIS) in Patient-Derived Xenograft Models (PDXS) of Lung Adenocarcinoma with Epidermal Growth Factor Receptor (EGFR) Mutations","year":2015,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Crizotinib; Erlotinib; Medicine; Gefitinib; Epidermal growth factor receptor; Cancer research; Adenocarcinoma; Erlotinib Hydrochloride; Lung cancer; Afatinib; Osimertinib; Resistance mutation; Tyrosine-kinase inhibitor; Tyrosine kinase; Oncology; Cancer; Internal medicine; Biology; Receptor; Gene","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":[0.0007759228,0.0006594003,0.0005446437,0.0005378377,0.0002831022,0.0006231718,0.0006099516,0.0007094936,0.002340568],"category_scores_gemma":[0.0003262749,0.0003195291,0.0008943928,0.0003006525,0.0003032896,0.0006321823,0.0002592865,0.002544665,0.0006842482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005302676,"about_ca_system_score_gemma":0.0003521811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473219,"about_ca_topic_score_gemma":0.0009140543,"domain_scores_codex":[0.9995348,0.0001024328,0.00006238676,0.0001025004,0.0001203411,0.00007751137],"domain_scores_gemma":[0.9995986,0.0001251909,0.00008371445,0.00006561712,0.00006046426,0.0000665183],"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":[0.0009241664,0.001068002,0.0009899923,0.0001218071,0.00004827889,0.0002325274,0.0000986636,0.001001513,0.9910931,0.001203036,0.0004717216,0.002747127],"study_design_scores_gemma":[0.000200245,0.00573924,0.003805851,0.00002142022,0.0001408221,0.001090942,0.0001355764,0.007137713,0.9762321,0.0002547164,0.005222702,0.00001867337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789032,0.001247184,0.01288012,0.000359782,0.0002879599,0.0005984122,0.002812626,0.0002009188,0.002709724],"genre_scores_gemma":[0.9773474,0.001584726,0.01080883,0.0001322157,0.00002944885,0.0005468868,0.003276291,0.00006471414,0.006209424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002340568,"threshold_uncertainty_score":0.007829964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08761446753943258,"score_gpt":0.3619676056639134,"score_spread":0.2743531381244809,"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."}}