{"id":"W3005155748","doi":"10.1158/2159-8290.cd-19-1265","title":"Pan-Cancer Efficacy of Vemurafenib in <i>BRAF</i> V600-Mutant Non-Melanoma Cancers","year":2020,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada)","funders":"National Cancer Institute; National Institutes of Health; Roche","keywords":"Vemurafenib; Melanoma; Cancer research; Cancer; Mutant; Medicine; Mutation; Metastatic melanoma; Oncology; Biology; Internal medicine; Genetics; Gene","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":[0.00005996781,0.00023076,0.0003355635,0.00003669849,0.00003191747,0.00002198323,0.0002972487,0.0001435064,0.00006794302],"category_scores_gemma":[0.00003217567,0.0002162617,0.0001457241,0.0002140959,0.0001009727,0.0000165797,0.0001300249,0.0001353705,0.000007748384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007976311,"about_ca_system_score_gemma":0.0006073485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007678505,"about_ca_topic_score_gemma":0.0005523668,"domain_scores_codex":[0.9986008,0.00003519173,0.0003402106,0.0005097875,0.0001658275,0.000348187],"domain_scores_gemma":[0.9993516,0.00001658579,0.0001527944,0.0003120801,0.00004180132,0.0001251939],"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":[0.0005433845,0.00006365126,0.03194619,0.0001356133,0.00008975561,0.00001871457,0.0003638146,0.0009917192,0.9562469,0.00005078816,0.002596441,0.006953099],"study_design_scores_gemma":[0.002869148,0.0004397827,0.03419765,0.0001639134,0.00005042136,0.000002810541,0.0001715501,0.0001261307,0.922448,0.00001591109,0.03905826,0.0004563564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926978,0.00403765,0.0001962627,0.0004730439,0.0004726724,0.0002953471,0.0002997269,0.00001028165,0.001517189],"genre_scores_gemma":[0.995501,0.001999188,0.00003591515,0.001289893,0.0006684062,0.000122457,0.00006699333,0.00003749204,0.0002786076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03646182,"threshold_uncertainty_score":0.8818896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475354711694065,"score_gpt":0.2547850052725076,"score_spread":0.240031458155567,"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."}}