{"id":"W4407188716","doi":"10.1002/dta.3858","title":"LC‐IRMS: Towards a High‐Throughput IRMS Methodology?","year":2025,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency; Partnership for Clean Competition","keywords":"Chemistry","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":[0.01006738,0.002136009,0.001805854,0.001483145,0.0007437717,0.003760149,0.002422263,0.004540843,0.005725926],"category_scores_gemma":[0.004362119,0.001428049,0.0008010322,0.001081318,0.001962118,0.005559647,0.001792909,0.004231869,0.007847746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484291,"about_ca_system_score_gemma":0.002601209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319406,"about_ca_topic_score_gemma":0.001077073,"domain_scores_codex":[0.9960235,0.001209298,0.0001596579,0.0006973117,0.001643648,0.0002665283],"domain_scores_gemma":[0.9981031,0.000588743,0.0002361677,0.000223442,0.0006637297,0.0001847791],"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":[0.0005207134,0.0004383513,0.000775539,0.001962143,0.0002164827,0.0003426064,0.0002012607,0.001152669,0.7952752,0.01843705,0.01379315,0.1668849],"study_design_scores_gemma":[0.0001971704,0.001245738,0.001331406,0.0003932662,0.0001831198,0.001643188,0.0002125045,0.01251185,0.755659,0.02021797,0.2061943,0.0002104807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02090455,0.06584408,0.8851069,0.01269628,0.00283214,0.000727068,0.0005962139,0.002822843,0.008469993],"genre_scores_gemma":[0.08255874,0.06997792,0.8118864,0.008031702,0.002805972,0.001291726,0.001409611,0.0007582739,0.02127972],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01006738,"threshold_uncertainty_score":0.05324209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07045988212043659,"score_gpt":0.345977620100031,"score_spread":0.2755177379795944,"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."}}