{"id":"W4308368577","doi":"10.1002/dta.3398","title":"Electrophoretic detection of black market myostatin propeptide","year":2022,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Protein precursor; Myostatin; Polyclonal antibodies; Detection limit; Biotinylation; Chemistry; Molecular biology; Monoclonal antibody; Blot; Follistatin; Antibody; Chromatography; Biology; Biochemistry; Gene; Immunology; Endocrinology","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":[0.0001849324,0.00006576682,0.0001147011,0.00007357827,0.0001346689,0.000004316695,0.00006101075,0.00001823389,0.00004235653],"category_scores_gemma":[0.0001579921,0.00006481246,0.00006676249,0.0004086181,0.00007038569,0.000001016105,0.00007298942,0.00006523055,3.412613e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004048002,"about_ca_system_score_gemma":0.0000190959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001041759,"about_ca_topic_score_gemma":0.00002479493,"domain_scores_codex":[0.9994007,0.0001131806,0.0001190598,0.0001967961,0.00006247737,0.0001077606],"domain_scores_gemma":[0.999696,0.00003359,0.00008263166,0.0001275503,0.00003543992,0.00002477408],"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":[0.0001044316,0.00005076374,0.0290016,0.00002002131,0.0002782129,8.880286e-7,0.00008537692,0.002537527,0.9623308,0.000008345499,0.000328381,0.005253716],"study_design_scores_gemma":[0.002325327,0.002922442,0.3629068,0.00002217918,0.003132761,0.00002704518,0.003922792,0.1443225,0.4718148,0.002775633,0.004451462,0.001376297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982813,0.0002480207,0.0003346989,0.00003348639,0.000008732584,0.00004316179,0.000009680409,0.000007562848,0.001033356],"genre_scores_gemma":[0.9991788,0.00002431578,0.0002829096,0.00005926812,0.00001523077,0.00001303525,0.00003986048,0.000005706918,0.0003808256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4905159,"threshold_uncertainty_score":0.2642975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005789532023467624,"score_gpt":0.2122751783316303,"score_spread":0.2064856463081627,"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."}}