{"id":"W2150660819","doi":"10.1261/rna.1617009","title":"Regulatory element identification in subsets of transcripts: Comparison and integration of current computational methods","year":2009,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; University of Minnesota","keywords":"Biology; Computational biology; Identification (biology); Current (fluid); Genetics; Ecology","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":[0.005240089,0.001392716,0.00164352,0.003994728,0.0007522104,0.001678932,0.002106666,0.001237627,0.001702111],"category_scores_gemma":[0.01244205,0.0005715622,0.002019315,0.002504443,0.0004196743,0.001365235,0.001387811,0.001119486,0.0005050438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009341603,"about_ca_system_score_gemma":0.001835366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003850299,"about_ca_topic_score_gemma":0.005581807,"domain_scores_codex":[0.9980083,0.0007179069,0.0002324407,0.0002957229,0.0006387608,0.0001068932],"domain_scores_gemma":[0.9942899,0.004285855,0.0002046409,0.0004650874,0.0006367426,0.0001177888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001439053,0.001017969,0.01885646,0.001325229,0.001096618,0.0003043012,0.0004572051,0.6017841,0.01590514,0.01616673,0.00467043,0.3369768],"study_design_scores_gemma":[0.00004422088,0.00007686045,0.001222769,0.0000287263,0.00007826898,0.00004983484,0.00005565706,0.9915968,0.002596933,0.002892992,0.001334414,0.0000225388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2531846,0.001723718,0.7283294,0.0005705684,0.0001775946,0.0004422449,0.002120859,0.008000978,0.005450057],"genre_scores_gemma":[0.2697997,0.0009471106,0.721652,0.000192013,0.00004734017,0.0006768016,0.004882995,0.001241502,0.0005604678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005240089,"threshold_uncertainty_score":0.02771252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537972606982914,"score_gpt":0.3574836464754299,"score_spread":0.3221039204056008,"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."}}