{"id":"W2507950939","doi":"10.1158/1078-0432.ccr-16-1192","title":"MAPK Pathway Inhibitors Sensitize BRAF-Mutant Melanoma to an Antibody-Drug Conjugate Targeting GPNMB","year":2016,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Cancer Institute; Deutsches Krebsforschungszentrum; McGill University","keywords":"Microphthalmia-associated transcription factor; Melanoma; MEK inhibitor; MAPK/ERK pathway; Cancer research; Gene knockdown; Medicine; Antibody-drug conjugate; Trametinib; Dabrafenib; Antibody; Monoclonal antibody; Cell culture; Immunology; Biology; Vemurafenib; Signal transduction; Tyrosinase; Metastatic melanoma; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003913309,0.0002533378,0.0003887156,0.0001071041,0.0002463467,0.00007220617,0.0005274666,0.0003140925,0.0002176668],"category_scores_gemma":[0.00133399,0.0001793034,0.0001929844,0.0002405368,0.0003724465,0.00001514507,0.0005964339,0.0004150106,0.0003262884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000591692,"about_ca_system_score_gemma":0.0005757847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002395068,"about_ca_topic_score_gemma":0.000314737,"domain_scores_codex":[0.9956633,0.0009328768,0.0007272266,0.001113921,0.0005788241,0.0009838432],"domain_scores_gemma":[0.9974986,0.0002354632,0.0001066705,0.000825792,0.0005381221,0.0007952965],"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":[0.0004208242,0.0001156741,0.008971483,0.00002417416,0.00004283716,0.0001143413,0.00005345058,0.000001941404,0.9553922,0.0001486505,0.01297188,0.02174255],"study_design_scores_gemma":[0.001246834,0.001364057,0.004688048,0.0001197398,0.0000077659,0.00001324835,0.0001152102,0.00001304507,0.7892384,0.0001829661,0.2026294,0.0003812851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994172,0.0004853196,0.0002683996,0.002275364,0.000855241,0.0005040386,0.0001783441,0.00004079977,0.001220539],"genre_scores_gemma":[0.9926019,0.0006321506,0.0003074261,0.0007728611,0.003023595,0.00007689987,0.00008159002,0.00006674383,0.002436873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1896575,"threshold_uncertainty_score":0.7311781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08395417958845613,"score_gpt":0.447579595077615,"score_spread":0.3636254154891588,"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."}}