{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007975853,0.002636764,0.0008040438,0.002095932,0.0006488798,0.001198998,0.001498212,0.001153423,0.006815603],"category_scores_gemma":[0.001340438,0.000828063,0.002394208,0.0007792146,0.000450634,0.001101274,0.00106821,0.0009313723,0.003612358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005809127,"about_ca_system_score_gemma":0.001134382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692717,"about_ca_topic_score_gemma":0.002729062,"domain_scores_codex":[0.9995965,0.00005860223,0.00002637842,0.0001943919,0.00009016247,0.00003390359],"domain_scores_gemma":[0.9994253,0.0002923653,0.00008541218,0.00008274612,0.00006345351,0.00005070896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002083406,0.000564751,0.05814897,0.00824817,0.001584621,0.003295293,0.0003869654,0.1953397,0.3502744,0.02023266,0.1373962,0.2224448],"study_design_scores_gemma":[0.0001821109,0.0003244134,0.01522519,0.0001222632,0.0002532142,0.001531436,0.00008660831,0.8224316,0.09451503,0.01844953,0.04671637,0.0001622324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07592431,0.002168338,0.6056907,0.0005203685,0.0001822491,0.0003688619,0.06212741,0.2489444,0.00407343],"genre_scores_gemma":[0.3112665,0.001168833,0.5076873,0.0003488774,0.000137664,0.0008075701,0.1676291,0.006739376,0.004214793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006815603,"threshold_uncertainty_score":0.02280051,"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."}}