{"id":"W2803149877","doi":"10.6004/jnccn.2018.0046","title":"Targeted Therapy for Patients With Metastatic Non–Small Cell Lung Cancer","year":2018,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seagen (Canada)","funders":"Ariad Pharmaceuticals","keywords":"Medicine; Alectinib; Osimertinib; ROS1; Targeted therapy; Lung cancer; Oncology; Anaplastic lymphoma kinase; Erlotinib; Ceritinib; Internal medicine; Tyrosine-kinase inhibitor; Tyrosine kinase; Cancer research; Cancer; Epidermal growth factor receptor; Adenocarcinoma; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006772033,0.000159005,0.0002973032,0.00006407958,0.0002318795,0.00002083726,0.000138801,0.0000330389,0.0001166127],"category_scores_gemma":[0.00002022147,0.00008650443,0.0001728773,0.000291925,0.00007909519,0.00008378065,0.00001792252,0.0001494799,0.000001013721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336636,"about_ca_system_score_gemma":0.0009138567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002847831,"about_ca_topic_score_gemma":0.00003139872,"domain_scores_codex":[0.9987975,0.00003881315,0.0003133396,0.0001381478,0.0005015951,0.0002105547],"domain_scores_gemma":[0.9944966,0.0001655997,0.0005269432,0.00009240612,0.004625913,0.00009256302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009398272,0.001299256,0.4596473,0.0002847005,0.008186454,0.000007090228,0.002007841,0.05049276,0.001082933,0.0001723632,0.4596155,0.007805516],"study_design_scores_gemma":[0.02589532,0.002665597,0.8487164,0.001027688,0.002274914,0.00002018915,0.000118388,0.00262584,0.001425586,0.0007602162,0.1141221,0.0003478474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772595,0.01241774,0.001308267,0.003474671,0.002632791,0.002142424,0.000177959,0.00001268342,0.0005740236],"genre_scores_gemma":[0.9858853,0.0003958631,0.004863832,0.005469018,0.002530725,0.0001346931,0.00001738974,0.00003666269,0.0006665507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3890691,"threshold_uncertainty_score":0.3527548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476331531661414,"score_gpt":0.3389768553128095,"score_spread":0.3142135399961954,"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."}}