{"id":"W2064141232","doi":"10.1080/10934529.2013.731817","title":"Variability of bioaccessibility results using seventeen different methods on a standard reference material, NIST 2710","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Saskatchewan; Stantec (Canada); Lakes Environmental (Canada); Golder Associates (Canada); Health Canada; Simon Fraser University; University of Guelph; Royal Roads University; Royal Military College of Canada","funders":"Natural Environment Research Council; Sight Research UK; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Reproducibility; Bioavailability; Repeatability; Cadmium; Environmental chemistry; Extraction (chemistry); Chemistry; Zinc; NIST; Environmental science; Chromatography; Biology; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01867596,0.001256784,0.0009131338,0.002187834,0.0009159759,0.001469598,0.001039033,0.001103268,0.0007319706],"category_scores_gemma":[0.01943291,0.0007008868,0.001498711,0.002349654,0.001419262,0.0005237532,0.001435445,0.0007307931,0.0005669832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007978532,"about_ca_system_score_gemma":0.0008029274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002768349,"about_ca_topic_score_gemma":0.004318238,"domain_scores_codex":[0.9651812,0.008198591,0.003954912,0.008337872,0.01373146,0.0005960235],"domain_scores_gemma":[0.9814294,0.007072604,0.002239512,0.004041969,0.005025004,0.0001914915],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001659477,0.0005525447,0.2003588,0.0006614703,0.001884317,0.0002265704,0.00203646,0.004888669,0.7344108,0.0005651363,0.0006381647,0.05211754],"study_design_scores_gemma":[0.0001458836,0.004177048,0.3506008,0.0001159582,0.00127542,0.001228752,0.0005664597,0.010509,0.6228448,0.0008916232,0.007424201,0.0002201353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078947,0.001287649,0.08502275,0.00007591736,0.0001560816,0.0005484782,0.001347243,0.0005252672,0.003141925],"genre_scores_gemma":[0.9074799,0.0007214723,0.08164456,0.0002240521,0.00006381569,0.001041621,0.006185203,0.0003147869,0.002324604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.981324,"threshold_uncertainty_score":0.09876907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0790207287804444,"score_gpt":0.3951092757273923,"score_spread":0.3160885469469479,"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."}}