{"id":"W2553389366","doi":"10.3945/ajcn.116.146357","title":"The elephant in the room: using nutritional biomarker cutoffs to assess status","year":2016,"lang":"en","type":"letter","venue":"American Journal of Clinical Nutrition","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mining Association of Canada; Health Canada","funders":"","keywords":"Biomarker; Environmental health; Medicine; Biology; Biochemistry","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":[0.003396625,0.0005387689,0.00133905,0.0009781189,0.001309556,0.001631413,0.0007321415,0.006932553,0.001424619],"category_scores_gemma":[0.02542382,0.0003198723,0.0004851459,0.0007241592,0.0009779115,0.002050889,0.000853597,0.01000558,0.001200389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275527,"about_ca_system_score_gemma":0.001403589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003672877,"about_ca_topic_score_gemma":0.007791175,"domain_scores_codex":[0.9979761,0.0008877303,0.0003532483,0.0001926561,0.0003990918,0.0001911386],"domain_scores_gemma":[0.9949723,0.002904157,0.0003168523,0.0002018131,0.000943407,0.0006614711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001682687,0.0003382857,0.2318154,0.0001837951,0.0001414792,0.01177386,0.00113729,0.0002782068,0.001924811,0.004903778,0.5413569,0.2044635],"study_design_scores_gemma":[0.00203452,0.002446973,0.2176319,0.004917182,0.0007750766,0.09825008,0.01172661,0.01548641,0.006106292,0.1034719,0.5366133,0.0005397481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03585579,0.005039475,0.001382876,0.9376389,0.01235897,0.00003886077,0.0001986166,0.00007302087,0.007413546],"genre_scores_gemma":[0.344325,0.006677008,0.01055409,0.5933257,0.03812534,0.0002013064,0.0002449769,0.00008829697,0.006458279],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006932553,"threshold_uncertainty_score":0.01796329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1920836304976904,"score_gpt":0.4859397261346891,"score_spread":0.2938560956369988,"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."}}