{"id":"W1581999026","doi":"10.1007/978-3-319-28755-3_13","title":"Exons and Introns","year":2016,"lang":"en","type":"book-chapter","venue":"Evolutionary Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Intron; Gene; Biology; Genome; Exon; Genetics; Computational biology; Sequence (biology); Evolutionary biology","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":[0.00009964577,0.000268698,0.0001948229,0.00007363305,0.0001204116,0.00001738935,0.00016073,0.0004512062,0.0002781905],"category_scores_gemma":[0.00003537039,0.0002193265,0.0001047368,0.000008228366,0.0001589889,0.000007617672,0.0002002908,0.0000972706,0.0002401746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002412485,"about_ca_system_score_gemma":0.0001086209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.017261e-7,"about_ca_topic_score_gemma":0.000001561113,"domain_scores_codex":[0.9991183,0.000009645896,0.0003121364,0.0001948959,0.000163664,0.0002013339],"domain_scores_gemma":[0.9992434,0.00001890122,0.0001770281,0.0003904451,0.00006329987,0.0001068732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001919568,0.00005299214,0.00005468295,0.0004011676,0.0006737088,0.0000143342,0.0001383305,0.000003618504,0.02649354,0.5985342,0.181839,0.1916024],"study_design_scores_gemma":[0.0002258623,0.0002311841,0.00002397597,0.0001308915,0.00004146778,0.00009364386,0.00001002449,0.00005123637,0.001231334,0.01615477,0.9813823,0.0004233476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001383644,0.004578318,0.012938,0.0004284548,0.0003707879,0.0004463962,0.0004810188,0.00004370237,0.980575],"genre_scores_gemma":[0.002380192,0.004683566,0.02045287,0.0003676102,0.0008726984,0.00003104928,0.0004087204,0.00008122344,0.9707221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7995433,"threshold_uncertainty_score":0.8943875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009014540318161113,"score_gpt":0.2029328674505272,"score_spread":0.1939183271323661,"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."}}