{"id":"W3180572238","doi":"10.1158/1538-7445.am2021-1218","title":"Abstract 1218: Targeting B-RAF and checkpoint inhibitor resistant melanoma with RSK inhibitor PMD-026 in pre-clinical models","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute of Public Health Inspectors","funders":"","keywords":"Melanoma; Cancer research; Cancer; Kinase; Medicine; MEK inhibitor; Metastasis; Targeted therapy; MAPK/ERK pathway; Mucosal melanoma; Vemurafenib; Immunotherapy; Biology; Internal medicine; Metastatic melanoma","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":[0.000382238,0.0006133231,0.0005190913,0.0003632625,0.0002159966,0.0004150936,0.0006609994,0.000644836,0.003295931],"category_scores_gemma":[0.0001925249,0.0001978283,0.0005305947,0.0002130713,0.0002336622,0.0004075966,0.0001752085,0.002150809,0.001511851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004550569,"about_ca_system_score_gemma":0.0004412027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008640853,"about_ca_topic_score_gemma":0.001158887,"domain_scores_codex":[0.9997675,0.00005154785,0.00001658444,0.00003803728,0.00007017169,0.00005613949],"domain_scores_gemma":[0.9998661,0.00001864536,0.00002023233,0.000021944,0.00001948727,0.0000535759],"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":[0.00267953,0.00344223,0.0002555962,0.000307243,0.00004382416,0.0001939637,0.00004543297,0.0009162701,0.9767073,0.0003601287,0.003168358,0.01188011],"study_design_scores_gemma":[0.001165101,0.03050845,0.003304785,0.00003572369,0.00008489874,0.0009736069,0.00005352623,0.00394115,0.9413375,0.0002096156,0.01835877,0.00002680044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699121,0.006371475,0.005541856,0.001092308,0.0005719881,0.0008735966,0.004858276,0.0007725371,0.01000585],"genre_scores_gemma":[0.9730003,0.003688222,0.005468997,0.0003023589,0.00005859193,0.000758833,0.005271967,0.00006515365,0.01138561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003295931,"threshold_uncertainty_score":0.01102597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06307485076322,"score_gpt":0.3681155071778808,"score_spread":0.3050406564146608,"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."}}