{"id":"W1818337537","doi":"10.1039/b618748j","title":"Mass spectrometric identification of peptide hormones in doping-control analysis","year":2007,"lang":"en","type":"article","venue":"The Analyst","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Peptide; Chemistry; Identification (biology); Hormone; Chromatography; Mass spectrometry; Biology; Biochemistry; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001426845,0.00008231154,0.0003995995,0.001017505,0.00005018151,0.000005216804,0.00009346562,0.00002493542,0.00001799569],"category_scores_gemma":[0.0001648839,0.00004745863,0.0002141313,0.004282879,0.000098251,0.00003292669,0.00001520401,0.00009988821,0.000014761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004984535,"about_ca_system_score_gemma":0.00001250269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184272,"about_ca_topic_score_gemma":0.0002303564,"domain_scores_codex":[0.9989144,0.0000372649,0.0004224316,0.0001945243,0.0002681667,0.0001632789],"domain_scores_gemma":[0.9992129,0.000103554,0.0001641796,0.0003431449,0.0001460228,0.0000301506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003107959,0.0001718416,0.7990472,0.00003586896,0.003521396,0.00002386039,0.0006890862,0.0004042206,0.1930371,0.0006612384,0.00005526903,0.002042138],"study_design_scores_gemma":[0.0003566901,0.00005366451,0.9874819,0.000006069193,0.001727493,0.000002185681,0.0009545214,0.0003395499,0.00861543,0.0003567828,0.00005354934,0.0000521631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823086,0.002440932,0.01043313,0.001239914,0.00002594896,0.0001683032,0.00000322597,0.0000121884,0.00336778],"genre_scores_gemma":[0.9987618,0.0001773518,0.00009654686,0.00002735816,0.0001251433,0.000003721992,0.000005973738,0.00000477727,0.0007972785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1884347,"threshold_uncertainty_score":0.2057781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098364723863558,"score_gpt":0.2795696598957137,"score_spread":0.2685860126570781,"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."}}