{"id":"W2031095666","doi":"10.1021/pr049882h","title":"Open Source System for Analyzing, Validating, and Storing Protein Identification Data","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":692,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Server; Computer science; Identification (biology); Database; Database server; Open source; Relational database; Interface (matter); Proteome; World Wide Web; Operating system; Bioinformatics; Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004221252,0.0001005707,0.0002204766,0.000162378,0.0004126734,0.000408358,0.001729072,0.00008811005,0.00001181113],"category_scores_gemma":[0.0005762397,0.00009057212,0.0000397041,0.0002462571,0.00007563364,0.0006244173,0.0008939125,0.000537939,0.000002778453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248169,"about_ca_system_score_gemma":0.0002400361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000766497,"about_ca_topic_score_gemma":0.000003480827,"domain_scores_codex":[0.9983404,0.00004509356,0.0005697215,0.0003190696,0.0004425313,0.0002831284],"domain_scores_gemma":[0.9978796,0.00007911406,0.0005336644,0.0007421377,0.000631713,0.0001338128],"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":[0.00007720966,0.00006560187,0.0001082677,0.0005961691,0.00003382732,0.000004287874,0.0001075684,0.00006263493,0.9897138,0.003237428,0.00008925446,0.005903968],"study_design_scores_gemma":[0.0009440308,0.0001042893,0.00001552006,0.0009066714,0.00001878697,0.00009870689,0.0005286421,0.0004209625,0.9759896,0.009461148,0.01136955,0.000142127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3818308,0.0003495009,0.6137486,0.001025283,0.00001904663,0.00244736,0.00006460602,0.0000507957,0.0004640379],"genre_scores_gemma":[0.75765,0.00004596399,0.2403195,0.000001983511,0.0003193929,0.0006229792,0.00002018842,0.00004074368,0.0009792568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3758192,"threshold_uncertainty_score":0.3937806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1731126030223852,"score_gpt":0.457940666299246,"score_spread":0.2848280632768608,"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."}}