{"id":"W2005813445","doi":"10.1093/database/baq031","title":"LPS-annotate: complete annotation of compositionally biased regions in the protein knowledgebase","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"UniProt; Annotation; Protein sequencing; Computational biology; Genome; Biology; Database; Computer science; Gene; Genetics; Peptide sequence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002124524,0.00008880739,0.00008988878,0.0000373943,0.00005516374,0.000004523547,0.0001855175,0.00002917278,0.00001237085],"category_scores_gemma":[0.00004045658,0.00007029063,0.00004083955,0.00009492022,0.00009538664,0.000001168012,0.00007204325,0.000046932,0.000007388712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000351852,"about_ca_system_score_gemma":0.00003648269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154681,"about_ca_topic_score_gemma":0.0002330535,"domain_scores_codex":[0.9993478,0.00009544889,0.0001824555,0.0001807283,0.00007611558,0.0001174235],"domain_scores_gemma":[0.9994625,0.00001725465,0.00007098014,0.000345026,0.00008064123,0.00002354255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001221659,0.0002303899,0.001651606,0.00002477402,0.00002875514,0.000006810611,0.0004928767,0.000008410742,0.9929382,0.002478755,0.001770312,0.0002470017],"study_design_scores_gemma":[0.004082107,0.001385994,0.2441189,0.0001709144,0.0001047952,0.00004882722,0.001658326,0.0004166148,0.6652761,0.002507165,0.07936938,0.0008609572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960885,0.0004140579,0.0007597238,0.0001248481,0.00003594864,0.0003160585,0.0009587131,0.000001669391,0.001300453],"genre_scores_gemma":[0.9957923,0.00003876498,0.002703447,0.0001663816,0.00004189244,0.00005683346,0.001164049,0.00000750295,0.00002888493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3276621,"threshold_uncertainty_score":0.2866369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237460809254645,"score_gpt":0.260019375891962,"score_spread":0.1976447677994155,"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."}}