{"id":"W2920215701","doi":"10.1093/database/baz033","title":"Update on cpnDB: a reference database of chaperonin sequences","year":2019,"lang":"en","type":"article","venue":"Database","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaperonin; GroEL; Biology; Phylogenetic tree; Computational biology; Identification (biology); Sequence analysis; Sequence (biology); Database; Computer science; Genetics; Ecology; 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":[0.0003686598,0.0001363198,0.0001446704,0.000068856,0.00003658169,0.00001250959,0.0004240997,0.00007684337,0.0005634641],"category_scores_gemma":[0.0001715677,0.0001187044,0.00003552503,0.0001193588,0.0000895252,0.00001173908,0.0003738867,0.0001626877,0.0005736129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001384702,"about_ca_system_score_gemma":0.0001785544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829812,"about_ca_topic_score_gemma":0.0000549774,"domain_scores_codex":[0.9986582,0.00009951638,0.0001886028,0.0004619462,0.0002932722,0.0002984645],"domain_scores_gemma":[0.9985867,0.0000193801,0.00005303759,0.001148387,0.00007777818,0.0001147871],"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":[0.0001685064,0.00007904601,0.0008738259,0.00007938876,0.00001754948,0.00001049929,0.000008313329,0.000009148887,0.9940237,0.0009749472,0.002513347,0.001241769],"study_design_scores_gemma":[0.0004675828,0.0004046898,0.0002475072,0.00007890903,0.000004380222,0.000006865149,0.00003410463,0.00009960746,0.9028697,0.00001047052,0.09561004,0.0001661179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930727,0.0002997642,0.0002304791,0.0001729105,0.00005765916,0.0003507557,0.002483574,0.00001075556,0.003321383],"genre_scores_gemma":[0.9924149,0.0004191236,0.001293389,0.0002488851,0.00006272356,0.00003130949,0.004824557,0.00001881644,0.0006863227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0930967,"threshold_uncertainty_score":0.7372824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033648656265123,"score_gpt":0.3165121856923562,"score_spread":0.2861756991297049,"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."}}