{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119458,0.0004426997,0.0004648128,0.0004205576,0.0001423845,0.0003729812,0.0003105202,0.0002134933,0.0009258787],"category_scores_gemma":[0.00007460402,0.0002025467,0.0003283172,0.0002804932,0.0001527967,0.0002180958,0.0003542271,0.0003524136,0.0003160441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002841587,"about_ca_system_score_gemma":0.0002689084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004257241,"about_ca_topic_score_gemma":0.001600673,"domain_scores_codex":[0.9998876,0.00001262573,0.000008145971,0.00002647894,0.00003711995,0.00002811284],"domain_scores_gemma":[0.9999641,0.000003718351,0.000009412943,0.000003687764,0.000004908977,0.00001412176],"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":[0.000329949,0.0003134522,0.0002756925,0.0001586548,0.00005224213,0.0001205576,0.0000149881,0.001212293,0.9775524,0.0002760298,0.0003266426,0.01936721],"study_design_scores_gemma":[0.000226445,0.003598079,0.002434156,0.000009973676,0.0001547721,0.0007720706,0.00002406822,0.005386505,0.98108,0.00008743448,0.006203981,0.00002261924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694066,0.003248269,0.01920546,0.0001914534,0.00009433429,0.0006296248,0.0005253476,0.000423341,0.006275649],"genre_scores_gemma":[0.9869748,0.001102745,0.009532505,0.00008021689,0.00001199274,0.0001478956,0.0002559697,0.0000206518,0.001873223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009258787,"threshold_uncertainty_score":0.003097355,"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."}}