{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009727042,0.00206014,0.0005599358,0.001782932,0.0004043932,0.0006150623,0.000652103,0.0008724997,0.005252704],"category_scores_gemma":[0.001045422,0.000488608,0.000568454,0.0006788103,0.0004150205,0.000475432,0.0006337829,0.001363814,0.004084881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695186,"about_ca_system_score_gemma":0.0004748763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003937253,"about_ca_topic_score_gemma":0.0007385018,"domain_scores_codex":[0.9985214,0.0002954362,0.00009428607,0.0003684355,0.0005854034,0.000135137],"domain_scores_gemma":[0.9988782,0.000297937,0.0002079154,0.0001057905,0.0003899706,0.000120151],"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":[0.00009788778,0.00004252823,0.0002727671,0.0002571575,0.00002335392,0.0001238616,0.00005999868,0.00003193881,0.9934315,0.0002071589,0.0005498204,0.004901997],"study_design_scores_gemma":[0.0000222021,0.0003553932,0.004253519,0.00009466984,0.00005811391,0.0009408584,0.0001045656,0.001361856,0.9757687,0.0002438778,0.01677106,0.00002501723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5508695,0.0262136,0.3735985,0.00119798,0.001354345,0.001370429,0.004338867,0.004449044,0.03660766],"genre_scores_gemma":[0.5078952,0.02311572,0.3802851,0.001556964,0.0004973489,0.002043555,0.01822472,0.001160364,0.0652211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005252704,"threshold_uncertainty_score":0.01757199,"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."}}