{"id":"W2793136329","doi":"10.1093/bioinformatics/bty208","title":"MechRNA: prediction of lncRNA mechanisms from RNA–RNA and RNA–protein interactions","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences; Deutsche Forschungsgemeinschaft; Baden-Württemberg Stiftung","keywords":"RNA; Computational biology; Non-coding RNA; Biology; RNA editing; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001939231,0.000170294,0.000168935,0.0001146483,0.0001163966,0.00004439918,0.0002029812,0.0002091735,0.0001102841],"category_scores_gemma":[0.0001351972,0.0001669316,0.00007895475,0.000142251,0.0001286851,0.00002414667,0.0002325149,0.000164911,0.00003461119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003782391,"about_ca_system_score_gemma":0.0001055592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010022,"about_ca_topic_score_gemma":0.00004918425,"domain_scores_codex":[0.9988118,0.00003716322,0.0004148114,0.0002027662,0.0002829394,0.0002505344],"domain_scores_gemma":[0.9989752,0.00001138933,0.0001981894,0.0004389833,0.000251997,0.0001242653],"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":[0.00007772338,0.00002933229,0.000001947799,0.00003150149,0.0001056291,7.858676e-7,0.0001837654,0.000007564947,0.9877107,0.0006766861,0.00105799,0.01011635],"study_design_scores_gemma":[0.0006167573,0.0005712584,0.00005154625,0.00007336395,0.00003512563,0.00001128459,0.0002230801,0.006728423,0.9815174,0.001390873,0.008633792,0.000147062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2953131,0.0002766796,0.6969036,0.000139846,0.0005766817,0.0005791245,0.0004029321,0.00004346478,0.005764538],"genre_scores_gemma":[0.9693462,0.0002013055,0.02925726,0.0001271809,0.0002742069,0.00003148037,0.0002201559,0.00003058389,0.0005115779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6740332,"threshold_uncertainty_score":0.6807271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126460246462553,"score_gpt":0.2574636546607564,"score_spread":0.2448176300145011,"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."}}