{"id":"W2887451076","doi":"10.1158/1535-7163.targ-17-b056","title":"Abstract B056: Non-V600 BRAF mutations in melanoma: actionable targets for rational drug combinations","year":2018,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; University of Toronto","funders":"","keywords":"Trametinib; Dabrafenib; Vemurafenib; Melanoma; Cancer research; MAPK/ERK pathway; MEK inhibitor; Medicine; Kinase; Targeted therapy; Mutant; V600E; In vivo; Cell culture; Cell growth; Metastatic melanoma; Cancer; Biology; Internal medicine; Cell biology; Biochemistry; Genetics","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":[0.0002784068,0.0004862992,0.0004522941,0.0004367124,0.0001797182,0.0004640907,0.0004300759,0.000394904,0.004340848],"category_scores_gemma":[0.0001499297,0.0001597531,0.0003163045,0.0002230328,0.0002143469,0.0002620814,0.0002622846,0.0009971125,0.001112883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614684,"about_ca_system_score_gemma":0.0002782521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102966,"about_ca_topic_score_gemma":0.001195822,"domain_scores_codex":[0.9999012,0.00002534521,0.00000805909,0.00001439848,0.00002691644,0.00002402909],"domain_scores_gemma":[0.9999336,0.000009579465,0.00001314773,0.000005541114,0.00001320698,0.00002498315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004708792,0.002891733,0.002092316,0.001167673,0.0002128834,0.001730582,0.0001262042,0.005619684,0.776816,0.004968261,0.01152535,0.1881404],"study_design_scores_gemma":[0.008558138,0.03165712,0.01321289,0.0005294831,0.0005620073,0.008277983,0.000211495,0.01752958,0.7137689,0.004901768,0.2006726,0.0001180123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8628037,0.0663394,0.01668618,0.004426397,0.000682236,0.001416745,0.00231456,0.0006106544,0.0447201],"genre_scores_gemma":[0.9671738,0.01572299,0.007356234,0.0006906487,0.0001154319,0.0002115943,0.001169452,0.00004471796,0.007515118],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004340848,"threshold_uncertainty_score":0.0145216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719835988449144,"score_gpt":0.2879549294281825,"score_spread":0.270756569543691,"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."}}