{"id":"W2509304116","doi":"10.1002/dta.2061","title":"Urinary human chorionic gonadotropin isoform concentrations in doping control samples","year":2016,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency; Partnership for Clean Competition","keywords":"Human chorionic gonadotropin; Immunoassay; Chemistry; Urine; Endocrinology; Internal medicine; Radioimmunoassay; Gonadotropin; Chromatography; Urinary system; Antibody; Hormone; Biology; Medicine; 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":[0.001419162,0.000442095,0.0004210883,0.002608147,0.0008239375,0.00109155,0.0003685333,0.0007481538,0.0009995269],"category_scores_gemma":[0.003809169,0.0002578913,0.0002887625,0.001427807,0.0005885157,0.0001504803,0.0002374521,0.0002972746,0.000255741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006488786,"about_ca_system_score_gemma":0.0006006194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006314834,"about_ca_topic_score_gemma":0.004499433,"domain_scores_codex":[0.9974617,0.0003372401,0.0003206173,0.0005410027,0.001168001,0.0001714768],"domain_scores_gemma":[0.9988368,0.0002144291,0.0002504283,0.0001047155,0.0004585246,0.0001350655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001182463,0.0006131725,0.9036812,0.0002022053,0.0002346986,0.001667276,0.0008385759,0.0002055052,0.0582593,0.000265081,0.001374201,0.03147633],"study_design_scores_gemma":[0.0000704616,0.0008940291,0.9439072,0.00009221874,0.0001688474,0.005093364,0.0003158689,0.001054308,0.04213971,0.0001478255,0.006087616,0.00002863167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882936,0.00376491,0.001844847,0.0001139823,0.0001098772,0.0001825904,0.001442402,0.0001652783,0.004082337],"genre_scores_gemma":[0.994418,0.0006389155,0.001972583,0.0002116544,0.00006883704,0.0001139818,0.001474704,0.00002427193,0.001077137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006314834,"threshold_uncertainty_score":0.0125562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283296766156444,"score_gpt":0.2808486879029972,"score_spread":0.2525190112873528,"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."}}