{"id":"W3207551833","doi":"10.1016/j.jmoldx.2021.09.008","title":"Evaluating Targeted Next-Generation Sequencing Assays and Reference Materials for NTRK Fusion Detection","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; Sunnybrook Health Science Centre; University of Toronto; Queen Elizabeth II Health Sciences Centre","funders":"Merck Sharp and Dohme; EMD Serono; Roche; Hospices Civils de Lyon; Bayer Fund; F. Hoffmann-La Roche; Merck; Boehringer Ingelheim; Amgen; Pfizer; Genentech; Bayer; AstraZeneca","keywords":"Biology; Fusion gene; Receptor tyrosine kinase; Cancer research; Kinase; Computational biology; Oncology; Medicine; Gene; Genetics","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":[0.0003406141,0.00007723764,0.0001784487,0.00005738016,0.00008912531,0.00005659815,0.00001848879,0.0000602441,0.0000241442],"category_scores_gemma":[0.002558819,0.00006545481,0.0000434168,0.00007425539,0.00001042796,0.00008624331,0.00001252442,0.00007415457,6.740015e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063481,"about_ca_system_score_gemma":0.0003786449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009739292,"about_ca_topic_score_gemma":0.00001020155,"domain_scores_codex":[0.9991779,0.00006598092,0.0003016381,0.0001027768,0.0002565912,0.0000950846],"domain_scores_gemma":[0.9985337,0.0001461314,0.0002219132,0.00007898414,0.0009476585,0.00007163139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003530779,0.00003681616,0.0001226704,0.0000480534,0.00009088594,0.0001245575,0.0001150009,0.0002468457,0.9833483,0.00006880717,0.00009689315,0.01566591],"study_design_scores_gemma":[0.001569647,0.0007050017,0.001297997,0.0002226858,0.000776251,0.0003778145,0.0001430295,0.001651091,0.99253,0.0003677847,0.0002895705,0.0000691523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567647,0.002446224,0.03980142,0.0003627547,0.0003490578,0.0002109658,0.00001439816,0.000005811709,0.00004468804],"genre_scores_gemma":[0.9738101,0.0007753107,0.0248278,0.0002529875,0.0002388747,0.00001178942,0.00005092088,0.000013681,0.00001848745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01704548,"threshold_uncertainty_score":0.306333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007385083182516,"score_gpt":0.3779671981683163,"score_spread":0.2772286898500648,"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."}}