{"id":"W2009483488","doi":"10.1186/1471-2148-7-s1-s9","title":"Detecting non-coding selective pressure in coding regions","year":2007,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Computational biology; Comparative genomics; Genetics; Genomics; Noncoding DNA; Coding region; Gene; RNA splicing; Intergenic region; Genome; Functional genomics; Evolutionary biology; RNA","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":[0.001824691,0.0005323518,0.0005815692,0.001514178,0.0004864102,0.0005928198,0.0006879219,0.0009105648,0.001396745],"category_scores_gemma":[0.004699507,0.0003012881,0.000662204,0.001029493,0.0007094507,0.0005569946,0.0006843442,0.0007494171,0.0002919053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007211143,"about_ca_system_score_gemma":0.000523133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326173,"about_ca_topic_score_gemma":0.002219472,"domain_scores_codex":[0.9993414,0.0001823061,0.00003607072,0.0002234586,0.0001738279,0.00004290393],"domain_scores_gemma":[0.9960871,0.00256606,0.0007917484,0.0002140996,0.0001841519,0.0001568204],"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":[0.001022261,0.0001244563,0.1672419,0.0009680439,0.0008567336,0.001008337,0.0005286253,0.07591998,0.6528894,0.01116599,0.0009292964,0.08734501],"study_design_scores_gemma":[0.00005986803,0.0003690556,0.2202913,0.0001035041,0.0003428399,0.001943721,0.0002109548,0.6215941,0.1189879,0.03179807,0.004191532,0.000107099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8131429,0.0007515943,0.1834539,0.0002291164,0.00002262648,0.00002560249,0.0007390124,0.0006335073,0.001001821],"genre_scores_gemma":[0.9478348,0.0002019176,0.05042391,0.0001015876,0.00002485599,0.00003330292,0.0009832234,0.0001497318,0.0002466222],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001824691,"threshold_uncertainty_score":0.009649992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187920603646866,"score_gpt":0.2993161257711532,"score_spread":0.2805240654064666,"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."}}