{"id":"W2991201494","doi":"10.1002/dta.2741","title":"Detection of black market follistatin 344","year":2019,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Follistatin; Polyclonal antibodies; Monoclonal antibody; Urine; Chemistry; Myostatin; Immunoprecipitation; Antibody; Blot; Chromatography; Molecular biology; Endocrinology; Biology; Biochemistry; Immunology","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":[0.0007237452,0.001053174,0.0003608196,0.001374489,0.0004016508,0.0005641661,0.0004603864,0.001296531,0.004866625],"category_scores_gemma":[0.0008987135,0.0003930059,0.0005602292,0.0004685064,0.0003320584,0.0003990582,0.0005291132,0.0008898727,0.002549063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000420363,"about_ca_system_score_gemma":0.0004296479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007177695,"about_ca_topic_score_gemma":0.001047844,"domain_scores_codex":[0.9990065,0.00017325,0.00003800608,0.0002722281,0.0004168668,0.00009329771],"domain_scores_gemma":[0.9995044,0.0001288327,0.0001004051,0.00004323429,0.0001663541,0.00005674402],"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":[0.0001204912,0.00004456606,0.0006611185,0.0001441295,0.00002987807,0.0000822723,0.00005210341,0.00005452444,0.9924069,0.0001838234,0.0004093473,0.005810809],"study_design_scores_gemma":[0.0000118019,0.0002234045,0.004500453,0.00004218799,0.00004158168,0.0004786947,0.00005801203,0.001250075,0.9830403,0.0001695754,0.01016909,0.00001477458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8160564,0.01379304,0.1410322,0.0006935307,0.0004314315,0.0006177491,0.003350387,0.002133299,0.02189204],"genre_scores_gemma":[0.8021107,0.007384172,0.1250295,0.001316458,0.0001489221,0.0006564018,0.01015986,0.0005212501,0.05267282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004866625,"threshold_uncertainty_score":0.01628047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148361157943514,"score_gpt":0.2564308333160222,"score_spread":0.2415947175216708,"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."}}