{"id":"W2134471382","doi":"10.1016/j.cell.2012.06.024","title":"A Landscape of Driver Mutations in Melanoma","year":2012,"lang":"en","type":"article","venue":"Cell","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2621,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biology; Neuroblastoma RAS viral oncogene homolog; Genetics; Melanoma; Mutation; Gene; Cancer research; Exome; Exome sequencing; Computational biology; KRAS","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005360809,0.0001949557,0.0004111438,0.0009896137,0.0003715994,0.001512572,0.0004471194,0.0006439394,0.003557563],"category_scores_gemma":[0.003906447,0.0001989068,0.0003122408,0.0007115537,0.0004170853,0.001013079,0.0004752519,0.0004828545,0.0001975616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007926275,"about_ca_system_score_gemma":0.0005240161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316129,"about_ca_topic_score_gemma":0.005503665,"domain_scores_codex":[0.9998078,0.00006812545,0.000009950775,0.00003544989,0.00004910421,0.00002962104],"domain_scores_gemma":[0.9992443,0.000505125,0.00006931431,0.00003623892,0.00007477985,0.0000702477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001131001,0.0003226818,0.119047,0.0004866188,0.0005327394,0.0023389,0.0004943899,0.4962679,0.04467125,0.1605764,0.009743088,0.164388],"study_design_scores_gemma":[0.0001362295,0.000363161,0.03906075,0.00009533828,0.0003627295,0.001785871,0.0009263996,0.7040467,0.006620191,0.2311106,0.01543996,0.00005218077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743237,0.003434602,0.008620729,0.004272162,0.00001971954,0.0000156593,0.0006662409,0.0001090585,0.008538055],"genre_scores_gemma":[0.9961273,0.0009872621,0.001739392,0.000139045,0.000009193022,0.000009763494,0.0002090153,0.00001381549,0.0007653467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003557563,"threshold_uncertainty_score":0.01190126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189702807580103,"score_gpt":0.2779444651890635,"score_spread":0.2589741844310531,"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."}}