{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625248,0.0001665754,0.0001211592,0.00006321217,0.0001397153,0.0001002789,0.0001285383,0.0001778168,0.00003267912],"category_scores_gemma":[0.00003263434,0.0001533677,0.0000471915,0.00007731368,0.00006895676,0.00005113794,0.0000612017,0.00009061038,0.00008037572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002653783,"about_ca_system_score_gemma":0.00009549822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002550135,"about_ca_topic_score_gemma":0.00004214458,"domain_scores_codex":[0.9990202,0.00002077513,0.0004485348,0.0001393125,0.0001537598,0.0002173925],"domain_scores_gemma":[0.9992838,0.00001146125,0.0001925657,0.000314772,0.00007339057,0.0001240212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005421051,0.0007290223,0.009468141,0.001377353,0.0003573374,0.000001000374,0.007368306,0.03395743,0.03240152,0.0387845,0.03709325,0.83792],"study_design_scores_gemma":[0.0007000092,0.0001712694,0.008722006,0.00001552439,0.00002631023,0.00003738899,0.0004653121,0.9494085,0.0006000809,0.0003878802,0.03918172,0.0002839435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2654835,0.0002825108,0.7250438,0.0004836411,0.0002922582,0.0006524811,0.00006482346,0.0001022294,0.007594765],"genre_scores_gemma":[0.6684352,0.0001041535,0.3279218,0.0009563377,0.0005259417,0.00004304252,0.001048987,0.00003038109,0.0009342149],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9154511,"threshold_uncertainty_score":0.6254151,"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."}}