{"id":"W1989100130","doi":"10.1371/journal.pone.0062204","title":"Bioinformatics Analysis Identify Novel OB Fold Protein Coding Genes in C. elegans","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Caenorhabditis elegans; Biology; In silico; Gene; Genetics; Computational biology; Gene prediction; Genome project; Genome; Protein sequencing; Annotation; Genomics; Sequence analysis; Peptide sequence","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":[0.0002118383,0.0004501596,0.0003036723,0.001163103,0.0003938435,0.0002993765,0.0002817984,0.000233322,0.001324643],"category_scores_gemma":[0.0003226853,0.0001077978,0.0005957627,0.0007727289,0.0001223619,0.0001346909,0.0001883875,0.0002572011,0.0006636626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229441,"about_ca_system_score_gemma":0.000677433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222018,"about_ca_topic_score_gemma":0.002537969,"domain_scores_codex":[0.999885,0.000008674694,0.000009949199,0.00004067855,0.00003641415,0.0000193735],"domain_scores_gemma":[0.9997957,0.0000639397,0.00005048659,0.00000761215,0.00004957571,0.00003260262],"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":[0.00150287,0.0002921891,0.1121774,0.001233093,0.0001398594,0.001565324,0.000154775,0.005735203,0.8068504,0.000476817,0.002689161,0.06718276],"study_design_scores_gemma":[0.0001547417,0.001791354,0.4926176,0.0001925427,0.0005147271,0.004747803,0.0004799232,0.1148815,0.3594787,0.001218343,0.02383501,0.00008775519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715195,0.001049974,0.0159533,0.0001476275,0.00002983589,0.0001770461,0.008229008,0.0007718959,0.002121887],"genre_scores_gemma":[0.8514266,0.0009696699,0.1175069,0.0002419311,0.00002278651,0.0003467451,0.02675622,0.0001625359,0.002566729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001324643,"threshold_uncertainty_score":0.004431427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263115134143695,"score_gpt":0.2433432518983985,"score_spread":0.2207121005569616,"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."}}