{"id":"W2015616366","doi":"10.1093/nar/gki394","title":"OrfPredictor: predicting protein-coding regions in EST-derived sequences","year":2005,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":417,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Genome Canada","keywords":"Biology; Open reading frame; Coding region; Annotation; Coding (social sciences); Computational biology; Reading frame; Genetics; Peptide sequence; Gene; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008140872,0.0001418102,0.0001495749,0.0001308936,0.0002690297,0.00004806288,0.0003766185,0.0001554077,0.00003218799],"category_scores_gemma":[0.0003076902,0.0001338769,0.00005824743,0.0002396452,0.0002606512,0.000002198743,0.0003696079,0.0003025089,0.00002325634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006068906,"about_ca_system_score_gemma":0.000151459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001216866,"about_ca_topic_score_gemma":0.0003653336,"domain_scores_codex":[0.9982397,0.0001545777,0.0002469564,0.0004478819,0.0003229767,0.0005878918],"domain_scores_gemma":[0.9992962,0.00003431982,0.00004167984,0.0003679424,0.0001492393,0.0001106286],"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":[0.0000434852,0.00004535272,0.01754968,0.00001556524,0.00002886494,0.000005538298,0.000451478,0.00008436493,0.9774432,0.0004367568,0.0005027992,0.003392869],"study_design_scores_gemma":[0.002478671,0.001500458,0.07024954,0.0002305381,0.00001843334,0.0000541446,0.004443602,0.00307818,0.7402268,0.001864729,0.1749522,0.0009027291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992043,0.0009257739,0.00004569086,0.0009728206,0.00004745429,0.0004003562,0.00001891738,0.000007542651,0.005538474],"genre_scores_gemma":[0.9966791,0.0004927256,0.001591372,0.00005750999,0.0005239903,0.000107696,0.00001179286,0.00002715797,0.0005086565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2372164,"threshold_uncertainty_score":0.5459343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04833340149248012,"score_gpt":0.3249245689733773,"score_spread":0.2765911674808972,"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."}}