{"id":"W4387825459","doi":"10.1016/j.annonc.2023.09.2414","title":"1381P TOGETHER: Pooled real-world datasets of METex14 skipping NSCLC and adjusted comparison of upfront (chemo-)immunotherapy with tepotinib from VISION","year":2023,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia; BC Cancer Agency","funders":"Daiichi Sankyo Europe; Gilead Sciences; Merck KGaA; Sanofi; AstraZeneca; Chugai Pharmaceutical; Daiichi-Sankyo; Pfizer; Amgen","keywords":"Medicine; Internal medicine; Lung cancer; Oncology","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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.001774249,0.0009526378,0.00169169,0.0006517097,0.000364787,0.001466993,0.001344382,0.001478872,0.004441923],"category_scores_gemma":[0.005100477,0.0003554969,0.003946387,0.0008613319,0.0004069411,0.0009125755,0.00122602,0.001182724,0.001411285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931267,"about_ca_system_score_gemma":0.0007099041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024947,"about_ca_topic_score_gemma":0.01294243,"domain_scores_codex":[0.9989913,0.0002799758,0.00006671911,0.000450067,0.00009423486,0.0001178013],"domain_scores_gemma":[0.9986832,0.0004907741,0.0002623587,0.000300845,0.0001479422,0.0001148552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.1031278,0.0008534409,0.4812894,0.005535186,0.07041531,0.002315931,0.0003631289,0.02268254,0.01432447,0.001681515,0.1998766,0.09753469],"study_design_scores_gemma":[0.009647581,0.003279641,0.829625,0.000872489,0.04264105,0.005054819,0.0008679751,0.01859849,0.005612993,0.005724333,0.0776387,0.0004369717],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175848,0.009287743,0.002515186,0.001749294,0.0004043945,0.000160869,0.3647463,0.0005272921,0.003024235],"genre_scores_gemma":[0.658576,0.001009125,0.001743353,0.0009539924,0.0001969981,0.0002166594,0.335071,0.0002017207,0.00203114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983083,"threshold_uncertainty_score":0.0203796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07791304895278989,"score_gpt":0.4615621077337189,"score_spread":0.383649058780929,"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."}}