{"id":"W2098676247","doi":"10.1093/nar/gkq1093","title":"PSORTdb--an expanded, auto-updated, user-friendly protein subcellular localization database for Bacteria and Archaea","year":2010,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biology; Archaea; Bacteria; Database; Bacterial protein; Computational biology; Genetics; 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":[0.001067865,0.001503525,0.001491704,0.002643042,0.0007611408,0.001930119,0.001987653,0.0009356698,0.009188908],"category_scores_gemma":[0.002333979,0.000829575,0.001283062,0.002988512,0.0002949971,0.002295111,0.002222097,0.001430326,0.01728842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058998,"about_ca_system_score_gemma":0.0017194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443511,"about_ca_topic_score_gemma":0.001544673,"domain_scores_codex":[0.9994641,0.00006990956,0.00009532168,0.0001458456,0.0001702008,0.00005458933],"domain_scores_gemma":[0.9990634,0.000152619,0.0001695523,0.0002412945,0.0002170633,0.0001560143],"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":[0.003860606,0.0003090762,0.01356005,0.009240792,0.0005904256,0.001463758,0.0005166789,0.005724353,0.1480461,0.01009858,0.5372591,0.2693304],"study_design_scores_gemma":[0.0003557982,0.0002796975,0.01025889,0.0006111195,0.0003058281,0.002836145,0.000217121,0.01776688,0.0556336,0.008315225,0.9032362,0.000183546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.04146274,0.01008412,0.2155268,0.0008670209,0.00073534,0.000361406,0.5144919,0.202398,0.01407268],"genre_scores_gemma":[0.05087049,0.003578439,0.1119754,0.0003880128,0.0001023682,0.0003480864,0.8217097,0.006920855,0.004106681],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.009188908,"threshold_uncertainty_score":0.03074002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996824358640841,"score_gpt":0.3300858543855556,"score_spread":0.3101176107991472,"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."}}