{"id":"W1836681236","doi":"10.1038/npre.2008.2311.1","title":"Yeast Features: Identifying Significant Features Shared Among Yeast Proteins for Functional Genomics","year":2008,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Annotation; Genome; Gene; Genomics; Saccharomyces cerevisiae; Function (biology); Functional genomics; Computer science; Proteome; Comparative genomics; Biology; Genetics","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":[0.001436547,0.001267241,0.0009545767,0.005549204,0.0006191866,0.001113647,0.0006759884,0.0006928781,0.003940377],"category_scores_gemma":[0.00434716,0.0003399612,0.001300414,0.003255903,0.0003203258,0.001102667,0.0013027,0.0005174135,0.001033105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004860318,"about_ca_system_score_gemma":0.0006091282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000737053,"about_ca_topic_score_gemma":0.00105749,"domain_scores_codex":[0.9993292,0.0001180934,0.00007357608,0.0002300438,0.0001858827,0.00006317667],"domain_scores_gemma":[0.996995,0.00153673,0.0006607079,0.0002968429,0.0003116199,0.0001991699],"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":[0.006770216,0.0008857711,0.2744689,0.003611131,0.001482036,0.003801601,0.001230672,0.01468101,0.3748249,0.006190125,0.03008734,0.2819662],"study_design_scores_gemma":[0.0009282698,0.002249053,0.4698431,0.0004350551,0.001460004,0.007450686,0.001384977,0.2686437,0.1654175,0.02919932,0.05247803,0.0005104415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.781042,0.00177648,0.1365057,0.0003884683,0.00009946793,0.000375469,0.04638958,0.03127753,0.002145307],"genre_scores_gemma":[0.8142084,0.0003373338,0.1551901,0.00009389291,0.00005519558,0.000360168,0.02788039,0.001248871,0.0006258017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005549204,"threshold_uncertainty_score":0.01318187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444232636026155,"score_gpt":0.2468346215507643,"score_spread":0.2323922951905028,"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."}}