{"id":"W4388001082","doi":"10.1093/nar/gkad814","title":"StORF-Reporter: finding genes between genes","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Horizon 2020 Framework Programme; Biotechnology and Biological Sciences Research Council; Aberystwyth University; McMaster University; American Educational Research Association","keywords":"Biology; Genome; Gene; Ensembl; ORFS; Genetics; Computational biology; Gene Annotation; Annotation; Open reading frame; Genomics; Peptide sequence","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":[0.001106597,0.001406539,0.00122138,0.001708894,0.0006267895,0.00138325,0.001261996,0.001278658,0.005388719],"category_scores_gemma":[0.001462418,0.0006488115,0.001292917,0.001094011,0.0007254695,0.0009769598,0.001188628,0.001469398,0.003680801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005371916,"about_ca_system_score_gemma":0.0008070409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097179,"about_ca_topic_score_gemma":0.001273187,"domain_scores_codex":[0.9992016,0.00007087074,0.00003331403,0.0003635808,0.0002168798,0.0001136985],"domain_scores_gemma":[0.999113,0.000400431,0.0001616099,0.0001365153,0.00006762244,0.0001206843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001380969,0.0001494601,0.008482774,0.001088254,0.00008920868,0.0006270892,0.0002829593,0.001470507,0.9083702,0.002531157,0.00923897,0.06628844],"study_design_scores_gemma":[0.0001308307,0.0003272882,0.009646811,0.0001128912,0.0000731684,0.001608468,0.0002400386,0.01412166,0.9095196,0.001998919,0.06212362,0.00009669326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2653062,0.002511462,0.6214648,0.0005768847,0.0003912635,0.000412912,0.04718276,0.05665623,0.005497454],"genre_scores_gemma":[0.3240533,0.001387934,0.5646037,0.000627037,0.00007405433,0.0007018629,0.08780818,0.008054929,0.01268898],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.005388719,"threshold_uncertainty_score":0.01802701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09487930346641198,"score_gpt":0.369412064087332,"score_spread":0.27453276062092,"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."}}