{"id":"W7118709032","doi":"10.17169/refubium-47075","title":"Metabolomics as tool for the early detection of diagnostic biomarkers in antidoping field","year":2024,"lang":"en","type":"dissertation","venue":"Refubium (Universitätsbibliothek der Freien Universität Berlin)","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Metabolomics; Workflow; Fragmentation (computing); Metabolome; Preprocessor; Chemometrics; Drug development","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003231508,0.0004139704,0.0005177105,0.002064407,0.0002939644,0.00009268215,0.0006368644,0.0005336425,0.00004443679],"category_scores_gemma":[0.0003590559,0.0003934933,0.0004465945,0.001963577,0.0001153504,0.00008441434,0.0001927175,0.0003404653,0.00001199811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008698259,"about_ca_system_score_gemma":0.0002632665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005790187,"about_ca_topic_score_gemma":0.001593271,"domain_scores_codex":[0.998172,0.00007275799,0.0003457857,0.0007249652,0.0002533578,0.0004311381],"domain_scores_gemma":[0.9983177,0.0005095217,0.0003209103,0.0005465004,0.0002393106,0.00006604011],"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":[0.00569141,0.0003964226,0.001551806,0.0020149,0.01515442,0.0001739947,0.004553535,0.0003222657,0.9087824,0.02581275,0.006440619,0.02910548],"study_design_scores_gemma":[0.007187773,0.00323888,0.01098898,0.001036957,0.008369324,0.00005197484,0.0301102,0.001239284,0.5316901,0.003945496,0.3987345,0.003406503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725636,0.01663647,0.004427754,0.0002909489,0.00164756,0.001113952,0.0001503976,0.0000312023,0.003138162],"genre_scores_gemma":[0.9788051,0.01231724,0.0004922118,0.00008347298,0.0002136642,0.00001764318,0.0004202487,0.00008131155,0.007569163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3922939,"threshold_uncertainty_score":0.9998517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006861432260437997,"score_gpt":0.242308708229512,"score_spread":0.235447275969074,"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."}}