{"id":"W3027882342","doi":"10.1016/j.lungcan.2020.05.018","title":"BRAF V600E mutation and MET amplification as resistance pathways of the second-generation anaplastic lymphoma kinase (ALK) inhibitor alectinib in lung cancer","year":2020,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Canadian Cancer Society; Princess Margaret Cancer Foundation","keywords":"Alectinib; Crizotinib; Anaplastic lymphoma kinase; ALK inhibitor; Medicine; Cancer research; Lung cancer; Exome sequencing; Adenocarcinoma; Oncology; Mutation; Internal medicine; Cancer; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006978933,0.0001631302,0.0002427101,0.0000711459,0.0001153694,0.00002656641,0.00006195886,0.00007943317,0.000207896],"category_scores_gemma":[0.00008770439,0.0001289624,0.00005469811,0.0004882591,0.00005860141,0.0001629113,0.0000218958,0.0000947653,0.000001468343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005341046,"about_ca_system_score_gemma":0.0005905674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006659251,"about_ca_topic_score_gemma":0.007624599,"domain_scores_codex":[0.998812,0.00006019586,0.0003381427,0.0003636899,0.0002481176,0.0001778548],"domain_scores_gemma":[0.9992973,0.000057692,0.0002089938,0.000191379,0.0001410884,0.0001035968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002911346,0.0007684922,0.2941062,0.005489859,0.00156411,0.000135082,0.04510734,0.003692298,0.5541462,0.006339655,0.03496755,0.05077181],"study_design_scores_gemma":[0.02002547,0.0007490523,0.6267574,0.002385735,0.002493207,0.0000360085,0.001688337,0.03200705,0.294306,0.0003492488,0.01824573,0.0009567756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871191,0.007069496,0.0001692817,0.003084211,0.0004440353,0.0009723448,0.0001980129,0.00003305057,0.0009104464],"genre_scores_gemma":[0.9966885,0.0002580691,0.000186778,0.001116147,0.000351947,0.0004341781,0.0000721684,0.00002781958,0.0008643485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3326512,"threshold_uncertainty_score":0.5258933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857981633021402,"score_gpt":0.310917915219052,"score_spread":0.292338098888838,"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."}}