{"id":"W3037987551","doi":"10.1016/s1470-2045(20)30335-1","title":"Moving gastrointestinal stromal tumours towards truly personalised precision therapy","year":2020,"lang":"en","type":"letter","venue":"The Lancet Oncology","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Novartis Pharmaceuticals Canada","keywords":"PDGFRA; Imatinib; Medicine; Stromal cell; Cancer research; GiST; Stromal tumor; Regorafenib; Tyrosine kinase; Tyrosine-kinase inhibitor; Oncology; Targeted therapy; Cancer; Internal medicine; Bioinformatics; Biology; Colorectal cancer; Receptor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006151044,0.000917241,0.001869733,0.0008330056,0.003422892,0.006723712,0.001506491,0.07833044,0.01060193],"category_scores_gemma":[0.03075131,0.0009883186,0.001473724,0.0007485913,0.006265156,0.006625673,0.004027848,0.05376029,0.008555668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005717313,"about_ca_system_score_gemma":0.004948507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00280623,"about_ca_topic_score_gemma":0.006104808,"domain_scores_codex":[0.993555,0.001972541,0.0005496166,0.000572795,0.002521668,0.0008284421],"domain_scores_gemma":[0.9815803,0.01195308,0.001087232,0.0005666809,0.001871924,0.002940699],"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":[0.00007847889,0.00002201527,0.0001758234,0.0001234485,0.00001951667,0.0008827769,0.0001126087,0.00009872451,0.000298629,0.007781078,0.9771274,0.01327959],"study_design_scores_gemma":[0.0002055815,0.00008596825,0.0002822629,0.0002858883,0.0000250191,0.00113901,0.0001969008,0.0003660359,0.0002026262,0.02827757,0.9688911,0.0000419045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000146533,0.004858284,0.0001135353,0.9657919,0.02637731,0.00000792702,0.00002854211,0.00001747848,0.002658333],"genre_scores_gemma":[0.003527139,0.002793207,0.000261666,0.9115914,0.07456293,0.00003240425,0.00002802841,0.00002722491,0.007175927],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07833044,"threshold_uncertainty_score":0.04148215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047025115265199,"score_gpt":0.3630308298079164,"score_spread":0.2583283182813965,"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."}}