{"id":"W164082874","doi":"","title":"The proteome analyst suite of automated function prediction tools","year":2005,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Gene ontology; Computer science; Function (biology); Suite; Ontology; Sequence (biology); Computational biology; Subcellular localization; Data mining; Bioinformatics; Gene; Biology; Biochemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005418138,0.0001038483,0.00008231565,0.00006232526,0.0001692911,0.00007172797,0.000204383,0.0001011486,0.00007076116],"category_scores_gemma":[0.0008141331,0.00008089697,0.00005436544,0.0001623818,0.0001192636,0.00001549808,0.00003738859,0.000134753,0.0000839894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003024165,"about_ca_system_score_gemma":0.00014526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004990844,"about_ca_topic_score_gemma":0.00005354664,"domain_scores_codex":[0.9988096,0.00006407488,0.0004180316,0.0001635747,0.0004062163,0.0001385137],"domain_scores_gemma":[0.9989202,0.00006320242,0.0002017998,0.0001756461,0.0006033518,0.00003579359],"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":[0.0007451194,0.0002427997,0.0006309911,0.00003232317,0.0001414898,2.637826e-7,0.000203466,0.07880952,0.3919917,0.2837529,0.002437379,0.241012],"study_design_scores_gemma":[0.00005692688,0.0005742612,0.00532594,0.0000276074,0.0000153483,0.000003913785,0.0001452515,0.6624559,0.3132683,0.00495676,0.01298869,0.0001811527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.637756,0.0001796794,0.2776541,0.00650733,0.001138919,0.00203628,0.0004791976,0.0004287112,0.07381979],"genre_scores_gemma":[0.9983211,0.00002884479,0.0007747401,0.0001441071,0.000206919,0.00002867227,0.0001671992,0.000006857563,0.0003215403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5836464,"threshold_uncertainty_score":0.3298883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05568293676456858,"score_gpt":0.3325883504638718,"score_spread":0.2769054136993032,"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."}}