{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002261909,0.0001313754,0.0002766496,0.0003123202,0.00002156187,0.0000128181,0.000225252,0.0001401006,0.0001750367],"category_scores_gemma":[0.00003211754,0.0001319014,0.0001437046,0.000595435,0.00003158574,0.00000324287,0.0001619973,0.00008688172,0.00001465945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003734041,"about_ca_system_score_gemma":0.0001172701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000327096,"about_ca_topic_score_gemma":0.001154294,"domain_scores_codex":[0.9988737,0.00005184798,0.0002346191,0.0003560332,0.0001921256,0.0002916415],"domain_scores_gemma":[0.9993585,0.00001011518,0.00007859279,0.0004034516,0.00009040091,0.00005896697],"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":[0.00005688874,0.0000255397,0.02451514,0.00003184055,0.000404513,0.00001123325,0.00003866584,0.006021123,0.9676123,0.000009576289,0.00001896473,0.001254218],"study_design_scores_gemma":[0.000411344,0.0001354445,0.06339435,0.00001142129,0.00009699388,0.000001986578,0.00005769858,0.001328387,0.9338217,0.000005014316,0.0005797271,0.0001558728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898914,0.001292477,0.007631809,0.00003767547,0.00007195827,0.0002728813,0.00002234077,0.000005001016,0.0007744239],"genre_scores_gemma":[0.9980207,0.0003157254,0.0003969023,0.00004084012,0.00004090705,0.00002305559,0.0002281152,0.00002279778,0.0009109544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03887921,"threshold_uncertainty_score":0.5378785,"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."}}