{"id":"W2146389940","doi":"10.1186/1471-2105-6-151","title":"AutoFACT: An Auto matic F unctional A nnotation and C lassification T ool","year":2005,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université de Montréal","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Perl; Annotation; Computer science; Software; Unix; Genomics; Functional genomics; Bioconductor; Computational biology; Information retrieval; Data mining; Programming language; Biology; Artificial intelligence; Genetics; Genome; Gene","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":[0.002820853,0.002847771,0.001375717,0.006012814,0.001567684,0.00387409,0.00286585,0.001410509,0.06290022],"category_scores_gemma":[0.0102623,0.001335335,0.002884255,0.003198066,0.001294929,0.003276425,0.003186364,0.001707052,0.03495541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009866101,"about_ca_system_score_gemma":0.001923661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074206,"about_ca_topic_score_gemma":0.002098049,"domain_scores_codex":[0.9973092,0.0004696176,0.0002969044,0.0006897227,0.001050338,0.0001841947],"domain_scores_gemma":[0.9949425,0.001854939,0.0006249482,0.0013279,0.0009798231,0.0002698608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001069145,0.0001719278,0.003294607,0.001656046,0.0002075533,0.001215038,0.0008354113,0.004590131,0.02130234,0.02303544,0.5052717,0.4373507],"study_design_scores_gemma":[0.0001526657,0.0001605531,0.002655117,0.0004256036,0.0001055097,0.001497887,0.0002390325,0.05768335,0.0409612,0.03254368,0.86328,0.0002954782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004177786,0.0005477158,0.6469788,0.0005350795,0.0008426263,0.0003769328,0.02541506,0.3068232,0.01430283],"genre_scores_gemma":[0.03533145,0.0008690723,0.7965491,0.0006527787,0.0004559529,0.0007780978,0.07539988,0.06362967,0.02633401],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06290022,"threshold_uncertainty_score":0.2104222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476743885683266,"score_gpt":0.2402007987037153,"score_spread":0.2254333598468827,"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."}}