{"id":"W4394319664","doi":"10.6084/m9.figshare.22622036","title":"Additional file 3 of Plasma ctDNA increases tissue NGS-based detection of therapeutically targetable mutations in lung cancers","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Cancer research; Computational biology; Lung cancer; Medicine; Oncology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001524625,0.002214834,0.002101048,0.002744863,0.0006660044,0.002667036,0.002206683,0.002818285,0.4518253],"category_scores_gemma":[0.01531908,0.0007869956,0.002295981,0.002764496,0.0005040034,0.001116381,0.001480476,0.001350833,0.1097067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501849,"about_ca_system_score_gemma":0.002296713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089478,"about_ca_topic_score_gemma":0.02248991,"domain_scores_codex":[0.9988859,0.0001638111,0.0001562022,0.0004128493,0.0002043021,0.0001768165],"domain_scores_gemma":[0.9919167,0.005422301,0.0006593291,0.0007572933,0.0008266362,0.000417633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005333814,0.0001061394,0.004915902,0.003853276,0.0002169284,0.00008376874,0.00003709913,0.0009403918,0.0002607666,0.0004884762,0.983371,0.005192928],"study_design_scores_gemma":[0.007291491,0.0002809223,0.03293409,0.003245433,0.0008020273,0.0006556333,0.0001728505,0.003353816,0.001682236,0.01001663,0.9393867,0.0001782081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001151107,0.00003575213,0.00005416977,0.00004207945,0.00001180168,0.00001365112,0.9993857,0.0001165335,0.000225163],"genre_scores_gemma":[0.001844462,0.00008151426,0.0006716378,0.0002573133,0.00002587507,0.0002516589,0.9952682,0.0001655279,0.001433781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4518253,"threshold_uncertainty_score":0.7819047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357310358516459,"score_gpt":0.284252733177394,"score_spread":0.2706796295922295,"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."}}