{"id":"W4377940137","doi":"10.1158/1078-0432.ccr-23-0580","title":"The GENIE BPC NSCLC Cohort: A Real-World Repository Integrating Standardized Clinical and Genomic Data for 1,846 Patients with Non–Small Cell Lung Cancer","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; Genentech; National Institutes of Health; Revolution Medicines; National Center for Advancing Translational Sciences; Seagen; Gilead Sciences; Sanofi; G1 Therapeutics; Amgen; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; AstraZeneca; American Association for Cancer Research","keywords":"Medicine; Oncology; KRAS; Internal medicine; Cohort; Cancer; Lung cancer; Response Evaluation Criteria in Solid Tumors; Docetaxel; Confidence interval; Ramucirumab; Nivolumab; ROS1; Immunotherapy; Clinical trial; Adenocarcinoma; Phases of clinical research; Colorectal cancer","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":[0.003247682,0.0005107455,0.0007913856,0.001956573,0.0006400107,0.001158855,0.001455956,0.0009224416,0.002142765],"category_scores_gemma":[0.007580674,0.0004676105,0.0005022426,0.003045442,0.0004266939,0.0007323606,0.001304109,0.0008275246,0.001087998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824418,"about_ca_system_score_gemma":0.002741344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03558503,"about_ca_topic_score_gemma":0.05023105,"domain_scores_codex":[0.9978265,0.0005504567,0.0001899409,0.0008681336,0.0004443486,0.0001204479],"domain_scores_gemma":[0.9939775,0.001218178,0.001622215,0.001748218,0.0008824975,0.0005512423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001581314,0.0003324138,0.9452875,0.0002877762,0.0006282429,0.0007425871,0.0003620192,0.002835847,0.001823782,0.0005354294,0.02593237,0.01965075],"study_design_scores_gemma":[0.0006864849,0.0005427473,0.9485413,0.0001732301,0.0003877719,0.0026337,0.0004830414,0.004735833,0.001273626,0.000482946,0.03996331,0.00009600985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6924991,0.00111787,0.003008519,0.0007059344,0.00004540323,0.0006813572,0.2999884,0.0002209232,0.001732469],"genre_scores_gemma":[0.5088998,0.0005664521,0.007630352,0.0006480851,0.00008576466,0.001390355,0.4796997,0.00009142016,0.0009879792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03558503,"threshold_uncertainty_score":0.07075584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501539766493789,"score_gpt":0.5403167405984413,"score_spread":0.3901627639490624,"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."}}