{"id":"W2155649413","doi":"10.1186/gb-2008-9-10-r152","title":"Improved genome assembly and evidence-based global gene model set for the chordate Ciona intestinalis: new insight into intron and operon populations","year":2008,"lang":"en","type":"article","venue":"Genome biology","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University; Montreal Neurological Institute and Hospital","funders":"Japan Science and Technology Agency; Canadian Institutes of Health Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Biology; Ciona intestinalis; Chordate; Genome; Intron; Genetics; Computational biology; Evolutionary biology; Gene; Human genetics; Operon; Ciona; Genome Biology; Genomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008903061,0.0009937657,0.00103664,0.001377115,0.0005628531,0.001035427,0.001086073,0.0004981611,0.001540932],"category_scores_gemma":[0.002383398,0.0004795739,0.001100326,0.001114572,0.0003461878,0.0008583668,0.0009392147,0.0009752695,0.0005400626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000989634,"about_ca_system_score_gemma":0.001198611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001660776,"about_ca_topic_score_gemma":0.004180431,"domain_scores_codex":[0.9996229,0.00005005591,0.00003719917,0.0001554481,0.0001031866,0.00003111369],"domain_scores_gemma":[0.99926,0.0002373664,0.0001007704,0.0001493283,0.0001827637,0.0000697834],"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":[0.0007046484,0.0002026597,0.03288864,0.0009643364,0.0002952102,0.000731491,0.0007453687,0.09071808,0.7434829,0.004106419,0.001566961,0.1235934],"study_design_scores_gemma":[0.0001839111,0.001075384,0.09127923,0.0002196912,0.001242176,0.001978907,0.0006317938,0.5534217,0.300826,0.01295654,0.03588413,0.000300471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6435864,0.0006275763,0.347833,0.0002374481,0.0000410651,0.0001106547,0.004101173,0.001781245,0.001681424],"genre_scores_gemma":[0.5106264,0.0004547042,0.4604766,0.00007470963,0.00002769822,0.0002173773,0.0265029,0.000657574,0.0009620544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001660776,"threshold_uncertainty_score":0.007180333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07731399656762472,"score_gpt":0.2838556879706687,"score_spread":0.206541691403044,"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."}}