{"id":"W2107468161","doi":"10.3389/fonc.2015.00020","title":"The Treatment of Metastatic Non-Small Cell Lung Cancer in a New Era of Personalized Medicine","year":2015,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Pfizer; Eli Lilly and Company","keywords":"Medicine; Lung cancer; Oncology; Personalized medicine; Internal medicine; Cancer; Precision medicine; Bioinformatics; Pathology; Biology","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":[0.0001553957,0.0001125287,0.0005886829,0.0001205692,0.00001525318,0.000001125923,0.00006530256,0.00005354579,0.00004656934],"category_scores_gemma":[0.00003728526,0.00006626756,0.00005566735,0.0002368815,0.000165858,0.00001857897,0.000007773009,0.00008089693,5.664169e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214116,"about_ca_system_score_gemma":0.002043202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005871556,"about_ca_topic_score_gemma":0.002449586,"domain_scores_codex":[0.9991121,0.00007391939,0.0003567414,0.0001477017,0.0001254544,0.0001840624],"domain_scores_gemma":[0.9993895,0.0001118311,0.0001582339,0.0001601064,0.0000723034,0.0001080609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002920588,0.002438676,0.5939481,0.0002073327,0.001156384,0.000217248,0.09373249,0.0004145857,0.000441021,0.0001989451,0.07106268,0.233262],"study_design_scores_gemma":[0.2049018,0.02863858,0.1150861,0.001278102,0.006786551,0.00005291401,0.07051478,0.01129704,0.003121616,0.002451346,0.5553231,0.0005481236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8316687,0.1295871,0.002805706,0.01551238,0.002666806,0.002707371,0.00004091268,0.00001498858,0.01499605],"genre_scores_gemma":[0.9201394,0.0233887,0.03664804,0.000537139,0.0003182565,0.0005678095,0.00005671935,0.00005289943,0.01829104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4842604,"threshold_uncertainty_score":0.8876075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680968617823263,"score_gpt":0.3754791561056938,"score_spread":0.3486694699274612,"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."}}