{"id":"W2953753155","doi":"10.1158/1535-7163.mct-19-0105","title":"Analysis of the Genomic Landscape in ALK+ NSCLC Patients Identifies Novel Aberrations Associated with Clinical Outcomes","year":2019,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Hôpital du Sacré-Cœur de Montréal; Centre Hospitalier Universitaire de Sherbrooke; Centre Hospitalier de l’Université de Montréal; McGill University; Institut universitaire de cardiologie et de pneumologie de Québec; IGNIS Innovation (Canada); Jewish General Hospital","funders":"Pfizer Canada; Astex Pharmaceuticals","keywords":"Crizotinib; Anaplastic lymphoma kinase; Fusion gene; Oncology; KRAS; Exome sequencing; Lung cancer; Cancer research; Mutation; Internal medicine; Exome; Biology; Medicine; Gene; Genetics","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":[0.00008656538,0.0001134152,0.0003628289,0.000123071,0.00003289948,0.0000122214,0.00009392369,0.00006777222,0.00006311245],"category_scores_gemma":[0.00001434645,0.00006877781,0.0002192612,0.0006532806,0.00004994547,0.00003005553,0.00002241327,0.0001142558,0.000002389199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240645,"about_ca_system_score_gemma":0.0001972855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002121752,"about_ca_topic_score_gemma":0.001420551,"domain_scores_codex":[0.9990638,0.00004630412,0.000316577,0.0001877292,0.0002489219,0.0001367033],"domain_scores_gemma":[0.9992436,0.00005931463,0.0001791497,0.0003381004,0.0001494478,0.00003038378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004091903,0.0004246286,0.9898317,0.00000591101,0.00626192,0.000001004879,0.0004151732,0.001292516,0.001123855,0.00003536672,0.000008521464,0.0005585232],"study_design_scores_gemma":[0.003092794,0.00008534301,0.9905264,0.00004739309,0.004805503,1.244921e-7,0.00008491584,0.0008359774,0.0002185483,0.000008885067,0.0002154958,0.00007858725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976484,0.0002713866,0.0001350822,0.0005065089,0.0001822555,0.0004783645,0.00008449804,0.00001031408,0.0006832058],"genre_scores_gemma":[0.9978873,0.00004326223,0.00004501695,0.001263444,0.00000623723,0.00003464987,0.00008980159,0.00001798944,0.000612274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003051875,"threshold_uncertainty_score":0.2804677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493232994755579,"score_gpt":0.3480004956206981,"score_spread":0.3230681656731423,"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."}}