{"id":"W2763325663","doi":"10.1093/annonc/mdx380.049","title":"Treatment beyond disease progression: ALK inhibitors in ALK-rearranged advanced NSCLC","year":2017,"lang":"en","type":"article","venue":"Annals of 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":"Medicine; Response Evaluation Criteria in Solid Tumors; Internal medicine; Lung cancer; Progressive disease; Oncology; Anaplastic lymphoma kinase; Crizotinib; Progression-free survival; Disease; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006441548,0.0002632082,0.0007918121,0.0003259712,0.000390156,0.001150109,0.0003241715,0.0007759638,0.003239784],"category_scores_gemma":[0.0009041141,0.0001122869,0.0007675882,0.0002839142,0.0002730752,0.001254185,0.0003731599,0.002422386,0.0006376818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007776939,"about_ca_system_score_gemma":0.0009644552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006178775,"about_ca_topic_score_gemma":0.003678747,"domain_scores_codex":[0.9997694,0.0000605696,0.00002911718,0.00002809306,0.00004576504,0.0000670599],"domain_scores_gemma":[0.9996316,0.0001335875,0.00007436051,0.00001734737,0.00005004976,0.00009294515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007516006,0.001044605,0.009508056,0.00167347,0.0003420034,0.000973027,0.0002148872,0.003356145,0.01228734,0.01152861,0.03285518,0.9187006],"study_design_scores_gemma":[0.006720163,0.02811466,0.09913969,0.004132255,0.002016792,0.009995879,0.000632009,0.006140076,0.01382119,0.03989332,0.789203,0.0001909766],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.322832,0.5195873,0.003032165,0.06191907,0.003815857,0.0002161689,0.00117319,0.0002220683,0.08720219],"genre_scores_gemma":[0.8419729,0.1246904,0.001923815,0.01066051,0.003460838,0.0001426357,0.001062184,0.00005520802,0.01603151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003239784,"threshold_uncertainty_score":0.01083815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05513182186318976,"score_gpt":0.4695535944243733,"score_spread":0.4144217725611836,"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."}}