{"id":"W1951808778","doi":"10.1016/j.celrep.2015.09.037","title":"New Functional Signatures for Understanding Melanoma Biology from Tumor Cell Lineage-Specific Analysis","year":2015,"lang":"en","type":"article","venue":"Cell Reports","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Institut Gustave-Roussy; Institut National Du Cancer","keywords":"Microphthalmia-associated transcription factor; SOX10; Melanoma; Biology; Gene signature; Cancer research; Computational biology; microRNA; Lineage (genetic); Transcription factor; Ectopic expression; Cell culture; Gene; Gene expression; Genetics","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":[0.000427595,0.0003779323,0.0004272953,0.001570592,0.0002322768,0.0005487347,0.0003288111,0.0003283347,0.0007923704],"category_scores_gemma":[0.0009340446,0.0001751413,0.0007187407,0.0007722382,0.0003949235,0.0005837097,0.00052683,0.000504348,0.0002637043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017668,"about_ca_system_score_gemma":0.0005344786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412586,"about_ca_topic_score_gemma":0.001911532,"domain_scores_codex":[0.9998569,0.00002668267,0.00001362002,0.00004780531,0.00003677927,0.00001810756],"domain_scores_gemma":[0.999689,0.00009500168,0.00005710953,0.00006727011,0.0000630924,0.00002869028],"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":[0.0003529113,0.0001440564,0.05145383,0.0003179184,0.000187769,0.0003425691,0.0003031779,0.06157841,0.6485462,0.02176586,0.001308535,0.2136987],"study_design_scores_gemma":[0.00002132521,0.000226099,0.04557348,0.00004220785,0.0001140225,0.0006772437,0.0001728448,0.7923051,0.1069136,0.04417863,0.009718315,0.00005705997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2708476,0.0007494612,0.7226365,0.0001561984,0.000017978,0.0001318801,0.001747196,0.001854882,0.001858308],"genre_scores_gemma":[0.6846148,0.0003457908,0.3112894,0.00007144589,0.000022071,0.0001430911,0.002659627,0.0001691306,0.00068485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001570592,"threshold_uncertainty_score":0.002915025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517100394988494,"score_gpt":0.2471004221302635,"score_spread":0.2119294181803786,"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."}}