{"id":"W4413944108","doi":"10.1016/j.clinbiochem.2025.111004","title":"Method choice for investigation of macrotroponin interference with the Siemens Atellica high sensitivity troponin I assay","year":2025,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia Hospital","funders":"","keywords":"Siemens; Sensitivity (control systems); Interference (communication); Troponin I; Chemistry; Internal medicine; Medicine; Computer science; Engineering; Telecommunications; Electrical engineering; Electronic engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005349699,0.001322934,0.001307653,0.002749886,0.000461667,0.001231963,0.0008305036,0.001768694,0.003349384],"category_scores_gemma":[0.009714892,0.0006430629,0.0006632929,0.0009874979,0.0005891765,0.0004921978,0.000519947,0.000771602,0.002232973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746476,"about_ca_system_score_gemma":0.0006608719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006340173,"about_ca_topic_score_gemma":0.001061546,"domain_scores_codex":[0.9951702,0.001678835,0.000370743,0.001041359,0.001411695,0.000327198],"domain_scores_gemma":[0.9968148,0.001783194,0.0002643409,0.000241708,0.0006833936,0.000212566],"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":[0.007262587,0.000436146,0.1513186,0.001809113,0.0006280565,0.003876781,0.0007835395,0.0006040524,0.5328755,0.002686313,0.009674435,0.2880448],"study_design_scores_gemma":[0.0008710283,0.006060079,0.139129,0.001514727,0.001417449,0.04127889,0.0005270995,0.01848301,0.7124394,0.004845897,0.07302549,0.0004077851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5222473,0.0809813,0.3584404,0.004818061,0.003183887,0.001925365,0.002058206,0.0042917,0.02205388],"genre_scores_gemma":[0.6807532,0.01001719,0.2955008,0.003803022,0.0006332404,0.001108801,0.001240696,0.0006609188,0.00628204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005349699,"threshold_uncertainty_score":0.02829224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585218762431172,"score_gpt":0.4173691087759084,"score_spread":0.3715169211515967,"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."}}