{"id":"W2126320151","doi":"10.1093/bioinformatics/btl410","title":"IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics","year":2006,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Search engine indexing; Database; Toolbox; MIT License; Interface (matter); Application programming interface; Information retrieval; Source code; Software; Open source; Database index; License; Database search engine; Index (typography); World Wide Web; Search engine; Programming language; Operating system","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":[0.002103857,0.003508179,0.0024019,0.007614188,0.001622802,0.004559374,0.004950929,0.001334062,0.0353654],"category_scores_gemma":[0.007732161,0.002023641,0.001753847,0.008522292,0.0006652536,0.005615258,0.004071934,0.002271078,0.04268356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275979,"about_ca_system_score_gemma":0.002211364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296876,"about_ca_topic_score_gemma":0.002314599,"domain_scores_codex":[0.9988396,0.0001338922,0.0001808381,0.000223293,0.0005003689,0.0001220202],"domain_scores_gemma":[0.9976501,0.0008386877,0.000335825,0.0004428799,0.0004812322,0.0002512741],"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":[0.001152611,0.0002120085,0.001790935,0.005734865,0.0003548979,0.0008273066,0.0005089535,0.00240176,0.03407519,0.009018668,0.6395881,0.3043348],"study_design_scores_gemma":[0.0006886086,0.0002527786,0.005993571,0.0009139561,0.0002408552,0.002637538,0.0002425769,0.0352215,0.07611455,0.03205835,0.8451453,0.0004904471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005852788,0.003267151,0.3961022,0.0004530502,0.0004475997,0.0008470446,0.1143341,0.4692278,0.009468315],"genre_scores_gemma":[0.02269873,0.003420784,0.4775941,0.0006652373,0.0002174337,0.00259226,0.4166763,0.06384082,0.01229431],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0353654,"threshold_uncertainty_score":0.1183091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160131351498109,"score_gpt":0.3029832167974074,"score_spread":0.2713819032824263,"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."}}