{"id":"W3036843725","doi":"10.1038/s43018-020-0077-8","title":"Multi-omic analysis reveals significantly mutated genes and DDX3X as a sex-specific tumor suppressor in cutaneous melanoma","year":2020,"lang":"en","type":"article","venue":"Nature Cancer","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Jewish General Hospital; Montreal General Hospital; McGill University; McGill University Health Centre","funders":"Terry Fox Research Institute; National Cancer Institute; Government of Canada; Melanoma Research Alliance; Canadian Institutes of Health Research; V Foundation for Cancer Research","keywords":"Biology; Melanoma; Cancer research; Genetics; Loss of heterozygosity; Transcriptome; Gene; Mutation; Gene expression; Allele","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":[0.00007141761,0.0002097394,0.000322441,0.00007751086,0.00004770467,0.00004858526,0.0001981485,0.0002558013,0.00006502349],"category_scores_gemma":[0.000041691,0.0001817883,0.0001037463,0.0003468732,0.00003371145,0.000006955342,0.00009349224,0.0002779707,0.000005194256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131301,"about_ca_system_score_gemma":0.00005144708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004602288,"about_ca_topic_score_gemma":0.00007233388,"domain_scores_codex":[0.9989177,0.00003843278,0.0002934688,0.0003921134,0.0001080344,0.0002502758],"domain_scores_gemma":[0.9994713,0.00001282094,0.0001109213,0.0002391299,0.00006211201,0.0001037194],"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":[0.000280812,0.00003889688,0.01103013,0.0000688452,0.0004438225,0.00004371056,0.0005856248,0.0007859491,0.9834271,0.00001213708,0.001613596,0.001669367],"study_design_scores_gemma":[0.003886412,0.0005618192,0.0271271,0.00004995658,0.0004951187,0.0001515197,0.00182305,0.02177576,0.8688912,0.00003234356,0.07396291,0.001242808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807625,0.01802101,0.00007929095,0.0005797214,0.0000609926,0.0002603637,0.0001172926,0.000013864,0.0001049892],"genre_scores_gemma":[0.9959663,0.001472477,0.0007512856,0.001280679,0.000125893,0.00004002048,0.0001697423,0.00002380932,0.0001697973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145359,"threshold_uncertainty_score":0.7413113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217977284135882,"score_gpt":0.2542654483464276,"score_spread":0.2420856755050688,"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."}}