{"id":"W3000205532","doi":"10.1158/1078-0432.ccr-19-1606","title":"A Combinatorial Strategy for Targeting <i>BRAF</i> V600E-Mutant Cancers with BRAFV600E Inhibitor (PLX4720) and Tyrosine Kinase Inhibitor (Ponatinib)","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Intramural Research Program; National Institutes of Health","keywords":"Ponatinib; Tyrosine-kinase inhibitor; Cancer research; Tyrosine kinase; MEK inhibitor; Medicine; Mutant; Kinase; Dasatinib; Cancer; Pharmacology; Biology; Imatinib; Internal medicine; Myeloid leukemia; Genetics; Receptor; MAPK/ERK pathway","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":[0.001354982,0.0002588868,0.0004228614,0.00004602964,0.0002748616,0.0001045468,0.0003097968,0.0003232356,0.000044685],"category_scores_gemma":[0.001087576,0.0002140333,0.0001236421,0.0002792828,0.0005132473,0.0000138198,0.0002920353,0.0006044165,0.000006467677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000612054,"about_ca_system_score_gemma":0.001258423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001854661,"about_ca_topic_score_gemma":0.0001742575,"domain_scores_codex":[0.9969341,0.000305753,0.0005850618,0.0009721653,0.000492673,0.0007103106],"domain_scores_gemma":[0.9981425,0.0002752682,0.000138799,0.0002935611,0.0005323362,0.0006174936],"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":[0.01294401,0.0003721576,0.009904033,0.0006025065,0.0002587957,0.000095575,0.0002652106,0.0001207036,0.8814103,0.001855727,0.07273737,0.01943361],"study_design_scores_gemma":[0.01644389,0.01908658,0.0008656999,0.0002265979,0.00007832597,0.00001148182,0.0006537411,0.0008535975,0.5528089,0.0005756926,0.4073946,0.001000801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928181,0.002178681,0.0001649504,0.00227113,0.0006705192,0.001067554,0.0002989048,0.00003035114,0.0004998357],"genre_scores_gemma":[0.9923261,0.0006077365,0.0003214471,0.0008011751,0.00528206,0.0003398571,0.0001358811,0.00006652954,0.0001191749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3346573,"threshold_uncertainty_score":0.8728024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193049894214911,"score_gpt":0.4156094043519279,"score_spread":0.2963044149304369,"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."}}