{"id":"W4399283030","doi":"10.3390/curroncol31060239","title":"Clinical Applications of Comprehensive Genomic Profiling in Advanced Non-Small-Cell Lung Cancer—A Case Series","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Liquid biopsy; Lung cancer; Malignancy; Computational biology; Profiling (computer programming); Turnaround time; Context (archaeology); Bioinformatics; Oncology; Pathology; Cancer; Internal medicine; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005187527,0.001403833,0.000604629,0.001849514,0.001801584,0.001319485,0.0007986443,0.002603034,0.001571349],"category_scores_gemma":[0.003228317,0.0006092698,0.000738853,0.001014772,0.001395116,0.001186074,0.00160768,0.002007614,0.0007902642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007778407,"about_ca_system_score_gemma":0.0005532417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010972,"about_ca_topic_score_gemma":0.001628167,"domain_scores_codex":[0.9992501,0.0001106095,0.0001150297,0.0001983003,0.0001585383,0.0001672995],"domain_scores_gemma":[0.998107,0.000645276,0.0003567404,0.0001990054,0.0001402277,0.0005517389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00001816319,0.00003730594,0.0157974,0.00003040298,0.00001048133,0.9798409,0.0002641038,0.000133875,0.000902366,0.000128447,0.0002612412,0.00257535],"study_design_scores_gemma":[0.00000261673,0.00003442247,0.004496249,0.000009789888,0.000007927602,0.994066,0.0001317958,0.0002022035,0.0004246647,0.00008255467,0.0005341281,0.000007641654],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786093,0.003628075,0.007270319,0.001404598,0.0002120214,0.0002436533,0.0002186182,0.0001494439,0.008263889],"genre_scores_gemma":[0.9953731,0.001065699,0.002135198,0.0003631567,0.0002435611,0.00002886742,0.0001027375,0.00002512534,0.0006626001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002603034,"threshold_uncertainty_score":0.005643666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0446789757861813,"score_gpt":0.4069622190843471,"score_spread":0.3622832432981658,"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."}}