{"id":"W2109743880","doi":"10.1158/1078-0432.14aacriaslc-ia10","title":"Abstract IA10: Molecular testing to personalized EGFR and ALK inhibitor therapies in lung cancer.","year":2014,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Anaplastic lymphoma kinase; Lung cancer; Cancer research; Adenocarcinoma; Crizotinib; Targeted therapy; Tyrosine-kinase inhibitor; Epidermal growth factor receptor; Cancer; Medicine; Fusion gene; Tyrosine kinase; Fluorescence in situ hybridization; Biology; Pathology; Internal medicine; Gene; Genetics; Chromosome","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":[0.002719939,0.001125699,0.0006146011,0.001623806,0.0002509735,0.00190475,0.001109772,0.001250567,0.01511792],"category_scores_gemma":[0.002241492,0.0003324141,0.0005215155,0.0007905889,0.0006227847,0.000825497,0.0009280969,0.002110259,0.006425937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776489,"about_ca_system_score_gemma":0.001727665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375619,"about_ca_topic_score_gemma":0.002004572,"domain_scores_codex":[0.9992307,0.0002451223,0.00004388247,0.0001126117,0.0002555155,0.0001122357],"domain_scores_gemma":[0.9988023,0.0002243044,0.0001809068,0.00007546605,0.0003339131,0.0003831751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002252311,0.0006784686,0.02308228,0.001006113,0.000120014,0.001298378,0.00005984784,0.001597821,0.03330088,0.009689042,0.1655299,0.7613849],"study_design_scores_gemma":[0.00123001,0.007303922,0.05877458,0.00118006,0.0004022773,0.009860205,0.0001953283,0.0140254,0.04981267,0.0146148,0.8424677,0.0001330684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1373797,0.2425113,0.04387867,0.09185793,0.01364699,0.003369107,0.02037171,0.01177801,0.4352065],"genre_scores_gemma":[0.6634339,0.08324489,0.06248939,0.03333461,0.006484678,0.001749173,0.02071539,0.0007202027,0.1278277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01511792,"threshold_uncertainty_score":0.05057448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627069123620948,"score_gpt":0.5623998535843598,"score_spread":0.3996929412222651,"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."}}