{"id":"W2021275596","doi":"10.1002/pmic.200300694","title":"Common interchange standards for proteomics data: Public availability of tools and schema. Report on the Proteomic Standards Initiative Workshop, 2 <sup>nd</sup> Annual HUPO Congress, Montreal, Canada, 8–11 <sup>th</sup> October 2003","year":2004,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"XML; Data exchange; Proteomics; Computer science; Data integration; Data science; Database; World Wide Web; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00279426,0.0008130365,0.00109682,0.0001203745,0.0006859004,0.0002822716,0.001541074,0.0005510352,0.0001248588],"category_scores_gemma":[0.005672086,0.0007123279,0.000157799,0.0005485953,0.0008759123,0.0008945945,0.0009484407,0.001238918,0.00000135216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209333,"about_ca_system_score_gemma":0.005488946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0162471,"about_ca_topic_score_gemma":0.04219777,"domain_scores_codex":[0.9944702,0.0001300403,0.00162826,0.001565085,0.001178387,0.001027987],"domain_scores_gemma":[0.9918133,0.0004358101,0.001249282,0.003063226,0.003080525,0.0003578422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03023173,0.01363826,0.05668409,0.02129872,0.00754545,0.001022059,0.03012273,0.02536017,0.1073769,0.1394057,0.4721156,0.09519859],"study_design_scores_gemma":[0.008653662,0.0007801298,0.0003482068,0.002189559,0.0003940856,0.0003259073,0.005758087,0.01246417,0.7839406,0.0359835,0.1457852,0.003376879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373635,0.0002605871,0.06077477,0.00609989,0.00006529532,0.01313974,0.08095832,0.000285893,0.001052018],"genre_scores_gemma":[0.8002469,0.000450843,0.1763114,0.0009460289,0.0005833404,0.01610306,0.004241444,0.000397678,0.0007193531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6765637,"threshold_uncertainty_score":0.9995328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048363447178893,"score_gpt":0.3125442115466662,"score_spread":0.2641807643677732,"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."}}