{"id":"W2951579457","doi":"10.3390/genes10060477","title":"Genome-Wide Analysis of Long Non-Coding RNA Profiles in Canine Oral Melanomas","year":2019,"lang":"en","type":"article","venue":"Genes","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Transcriptome; Biology; Gene; Exome sequencing; Genome; Computational biology; Genetics; Exome; Long non-coding RNA; Gene expression; RNA; Mutation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00030544,0.0001412834,0.0003051912,0.0006959962,0.000257439,0.0003444436,0.0001121613,0.0002139485,0.00058425],"category_scores_gemma":[0.0003223182,0.000112759,0.0002794836,0.0006942383,0.0001558551,0.0001075557,0.0002726,0.000249089,0.0001247597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685116,"about_ca_system_score_gemma":0.0001337905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494886,"about_ca_topic_score_gemma":0.004110915,"domain_scores_codex":[0.9997911,0.00002084062,0.00001219252,0.0001083788,0.00003780142,0.00002973458],"domain_scores_gemma":[0.9998019,0.00005111233,0.00006073399,0.00001787762,0.00004052174,0.0000277642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001240241,0.0001025083,0.5378409,0.0004675227,0.0005401485,0.0006267329,0.0006682875,0.001161194,0.4191554,0.0003344159,0.002011438,0.03585118],"study_design_scores_gemma":[0.00001716838,0.0001136058,0.9870985,0.00001961649,0.0001949561,0.0006347797,0.0002202523,0.001382529,0.005439191,0.0001379574,0.004729826,0.00001166269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939669,0.001036821,0.001037547,0.00003618406,0.000007563066,0.00001197016,0.003432768,0.00002648969,0.0004436991],"genre_scores_gemma":[0.9864109,0.0005073621,0.002722027,0.0001226731,0.00001156605,0.00004826556,0.009642657,0.00002901962,0.00050562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001494886,"threshold_uncertainty_score":0.002972364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009360728711188215,"score_gpt":0.263572007149266,"score_spread":0.2542112784380778,"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."}}