{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01028186,0.0002573047,0.0006045572,0.00009489345,0.0003919432,0.00006455773,0.0005453101,0.00008350698,0.001871321],"category_scores_gemma":[0.0002281955,0.0001844902,0.0000794598,0.0002350356,0.002146018,0.0007072036,0.0005191785,0.0003073712,0.00002543675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791471,"about_ca_system_score_gemma":0.0001169341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004210444,"about_ca_topic_score_gemma":0.00001597555,"domain_scores_codex":[0.9952968,0.0006089617,0.001442419,0.0005728147,0.001502242,0.0005767011],"domain_scores_gemma":[0.9977164,0.0001453679,0.0009939731,0.0005284846,0.0000151184,0.0006007108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007751661,0.002446031,0.2828573,0.0001671872,0.00004775605,0.000008923631,0.001616016,0.001000211,0.5842317,0.00008528274,0.001330211,0.1254342],"study_design_scores_gemma":[0.0007253576,0.001622826,0.9645996,0.0001203787,0.00002169388,0.0000329491,0.000300775,0.0005135107,0.02734526,0.0007674295,0.003702677,0.0002475288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971008,0.00004244224,0.0005136123,0.000809691,0.0002895049,0.0005069367,0.00009260154,0.000005541603,0.000638845],"genre_scores_gemma":[0.9809852,0.0003097302,0.01823157,0.0003719582,0.0000500302,0.000007251668,0.000001852025,0.00001170798,0.00003068088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6817423,"threshold_uncertainty_score":0.9990411,"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."}}