{"id":"W4284976473","doi":"10.1038/s41467-022-31510-1","title":"Multi-modal molecular programs regulate melanoma cell state","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"American Cancer Society; AIM at Melanoma; National Health and Medical Research Council; National Institutes of Health; Cancer Prevention and Research Institute of Texas; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; Medical Research Council; National Cancer Institute; Melanoma Research Alliance; University of Texas System; University of Texas MD Anderson Cancer Center; Lyda Hill Foundation","keywords":"Melanoma; Transcriptome; Biology; Computational biology; Phenotype; microRNA; Immune checkpoint; DNA methylation; Cancer research; Genetics; Cancer; Gene; Immunotherapy; Gene expression","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":[0.0001067474,0.0001519068,0.0001567058,0.0003039577,0.0001392257,0.0004319812,0.0001071513,0.0001405017,0.0005518316],"category_scores_gemma":[0.0001449273,0.00009801814,0.0001619321,0.0002248323,0.0001759511,0.0002530453,0.0003259252,0.0003085831,0.0002321707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137915,"about_ca_system_score_gemma":0.0001113419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002824797,"about_ca_topic_score_gemma":0.0008045596,"domain_scores_codex":[0.9999046,0.00001110383,0.000005872752,0.0000337108,0.00002811047,0.00001661659],"domain_scores_gemma":[0.9998472,0.0000277517,0.00005672268,0.00002392387,0.00002764701,0.00001672723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002874326,0.00000389766,0.003050813,0.00001222072,0.00000400092,0.00001708469,0.00002531707,0.00005232229,0.995364,0.00007014917,0.00001078742,0.001360619],"study_design_scores_gemma":[0.000005003908,0.0002532496,0.2866222,0.00001229446,0.00004482278,0.0005013789,0.000261783,0.002691026,0.7060941,0.0002973223,0.003200816,0.00001605789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939538,0.0006719679,0.003781538,0.00002522016,0.000005074805,0.00001065363,0.0006932003,0.00005939347,0.0007991663],"genre_scores_gemma":[0.9956728,0.0004018151,0.001958351,0.0000246082,0.000004554743,0.00001843475,0.001065934,0.00002349571,0.0008300453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005518316,"threshold_uncertainty_score":0.001846015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237812463030771,"score_gpt":0.3478284844333382,"score_spread":0.3154503598030305,"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."}}