{"id":"W2095624327","doi":"10.1101/gr.2649204","title":"cpnDB: A Chaperonin Sequence Database","year":2004,"lang":"en","type":"article","venue":"Genome Research","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia; Institute for Marine Biosciences; Plant Biotechnology Institute","funders":"","keywords":"Biology; Sequence (biology); Computational biology; Chaperonin; Sequence database; Genetics; Database; Gene; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009450305,0.002680527,0.001718953,0.005753751,0.0009838922,0.001589799,0.002630893,0.001259382,0.02003074],"category_scores_gemma":[0.00271652,0.0007809161,0.0008515027,0.007515648,0.0003745256,0.001597896,0.002030301,0.001412467,0.02516023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008563269,"about_ca_system_score_gemma":0.002811181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021498,"about_ca_topic_score_gemma":0.004385848,"domain_scores_codex":[0.9995064,0.00005247774,0.00009704004,0.0001507253,0.0001370142,0.00005647974],"domain_scores_gemma":[0.9991741,0.0001514285,0.0001270286,0.0001092522,0.0002083889,0.0002298695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003586812,0.0003208742,0.006026173,0.01892627,0.0003103119,0.001266033,0.0006603808,0.001708804,0.08987385,0.004907676,0.7444086,0.1280042],"study_design_scores_gemma":[0.000392288,0.000133082,0.008508305,0.0008165165,0.00018042,0.0007002933,0.0001435861,0.003295756,0.0144184,0.002766112,0.9685165,0.0001287135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00665832,0.00266192,0.00960133,0.000188558,0.0001212969,0.0002030774,0.9525715,0.02215121,0.005842869],"genre_scores_gemma":[0.003414094,0.0007280045,0.009972555,0.0000626919,0.000012026,0.0001428393,0.9837891,0.0009649397,0.0009137769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02003074,"threshold_uncertainty_score":0.06700951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178180827762351,"score_gpt":0.4129589201309714,"score_spread":0.2951408373547363,"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."}}