{"id":"W3202394648","doi":"10.1016/j.annonc.2021.08.1956","title":"1356P Cumulative incidence and baseline imaging patterns of brain metastases in advanced EGFR and ALK positive non-small cell lung cancer (NSCLC)","year":2021,"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 Health Network; University of Toronto","funders":"","keywords":"Medicine; Lung cancer; Oncology; Cumulative incidence; Incidence (geometry); Internal medicine; Brain metastasis; Histology; Pathology; Cancer; Metastasis","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":[0.0001312122,0.0001717575,0.0001632077,0.0004535368,0.000161348,0.0003680177,0.0002207179,0.0002822369,0.003692856],"category_scores_gemma":[0.0006190272,0.0001312669,0.0003046853,0.0005128469,0.0001317723,0.0003127547,0.0002579014,0.0003661463,0.0002955412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218569,"about_ca_system_score_gemma":0.0002034041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008427836,"about_ca_topic_score_gemma":0.01004918,"domain_scores_codex":[0.9998937,0.00001081751,0.0000092167,0.0000350552,0.00002091745,0.00003046625],"domain_scores_gemma":[0.9996403,0.00004134115,0.0001661599,0.0000217362,0.00003594365,0.00009449287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000607114,0.00003352212,0.9936532,0.0000131331,0.00007520269,0.0002363224,0.00002340355,0.0001538647,0.001125849,0.00005774883,0.0002992351,0.003721422],"study_design_scores_gemma":[0.000003290208,0.00007196965,0.9989703,0.00000219155,0.00002183815,0.0004703834,0.00004122151,0.0001397128,0.00005959295,0.00003621423,0.0001809312,0.000002555729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966829,0.0003768711,0.00006975367,0.00004090089,0.000005826256,0.000002503682,0.001484905,0.000007903489,0.001328364],"genre_scores_gemma":[0.9984817,0.0001304426,0.00003353609,0.00001070197,0.000005532382,0.000002133558,0.0008318319,0.000002029789,0.0005021425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008427836,"threshold_uncertainty_score":0.01675755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545698386827868,"score_gpt":0.4126812494319944,"score_spread":0.3872242655637157,"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."}}