{"id":"W2383534773","doi":"10.1016/j.molcel.2016.04.030","title":"Global Mapping of Human RNA-RNA Interactions","year":2016,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":407,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; RNA; Computational biology; RNA editing; Non-coding RNA; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008723599,0.00009346956,0.0000949057,0.00003554073,0.00004855646,0.00001046232,0.0001816381,0.00005681722,0.00005430314],"category_scores_gemma":[0.00003547911,0.00007289654,0.0001082473,0.00008374046,0.00005701794,0.000003108473,0.0001194125,0.00003798325,0.00002098875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002178299,"about_ca_system_score_gemma":0.00003605714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004683073,"about_ca_topic_score_gemma":0.00002234753,"domain_scores_codex":[0.9992291,0.00004552345,0.0001554307,0.0002149232,0.0001293958,0.0002255708],"domain_scores_gemma":[0.9994675,0.000004992106,0.00005779576,0.0003128571,0.00006923645,0.00008764468],"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":[0.00001298233,0.0000370136,0.001034387,0.00001244846,0.00002434985,0.00001177124,0.000005808397,0.000004493039,0.9929175,0.0001171986,0.0009773592,0.004844704],"study_design_scores_gemma":[0.0004051805,0.0001275664,0.0006873915,0.00002494063,0.000005239603,0.000003630634,0.00002503764,0.000007899126,0.9892076,0.0001222459,0.009283154,0.0001000876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591307,0.0002247731,0.01631436,0.0001395105,0.00005187482,0.00008096737,0.00001357787,0.000007563029,0.02403665],"genre_scores_gemma":[0.9952566,0.00002738628,0.0004286372,0.00008181237,0.00004989993,0.000006820921,0.00001403747,0.00001171512,0.004123072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0361259,"threshold_uncertainty_score":0.2972634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208555926074006,"score_gpt":0.2808641488447676,"score_spread":0.2687785895840276,"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."}}