{"id":"W2570179707","doi":"10.1016/j.jtho.2016.11.1695","title":"P3.02b-028 Characterizing Residual Erlotinib-Tolerant Population Using EGFR-Mutated NSCLC Primary Derived Xenografts: The Last Holdouts","year":2017,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Erlotinib; Cancer research; Epigenomics; Epidermal growth factor receptor; Biology; Population; Medicine; Cancer; Internal medicine; DNA methylation; Genetics; Gene expression; 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":[0.0003846076,0.0002019996,0.0003430434,0.0001637852,0.000345244,0.0006289372,0.0003018406,0.0004709176,0.003499003],"category_scores_gemma":[0.0003509239,0.0001575402,0.0002190685,0.000184413,0.0002874202,0.0003587982,0.0001893906,0.001214181,0.0008420801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183951,"about_ca_system_score_gemma":0.0002358013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051912,"about_ca_topic_score_gemma":0.001567529,"domain_scores_codex":[0.9997725,0.0000240547,0.00001316835,0.00006149968,0.00007460719,0.00005428405],"domain_scores_gemma":[0.9998496,0.00002884475,0.00001302547,0.00002739355,0.00003541751,0.00004573097],"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":[0.0006841923,0.0002144576,0.005553823,0.0000316769,0.00003128269,0.0002292674,0.0001022468,0.000253577,0.9803811,0.0003705282,0.0009586966,0.01118925],"study_design_scores_gemma":[0.0001071901,0.003325796,0.04649934,0.00001555849,0.0001370958,0.003883606,0.0003283049,0.008899347,0.921938,0.0007323925,0.01410831,0.00002518998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900535,0.0004778884,0.004820815,0.0003537931,0.00006188603,0.0000695101,0.001053011,0.0001705911,0.002939155],"genre_scores_gemma":[0.9883153,0.000284681,0.003054111,0.0003006011,0.00001706609,0.0001195854,0.00197065,0.0001374808,0.005800441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003499003,"threshold_uncertainty_score":0.01170534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04549280924966785,"score_gpt":0.4478053006809738,"score_spread":0.4023124914313059,"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."}}