{"id":"W3208858549","doi":"10.1016/j.aca.2021.339214","title":"Source apportionment of bioaccessible lead in soil reference materials using the continuous on-line leaching method and inductively coupled plasma mass spectrometry","year":2021,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; NIST; Inductively coupled plasma mass spectrometry; Environmental chemistry; Certified reference materials; Soil water; Extraction (chemistry); Mass spectrometry; Soil test; Chromatography; Environmental science; Detection limit; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008371665,0.0008232962,0.0004457719,0.002072434,0.0006470488,0.0009417883,0.0009618583,0.001090867,0.0008843287],"category_scores_gemma":[0.001208539,0.0002889759,0.0005363168,0.001109174,0.0003799093,0.0003132453,0.0006844351,0.0003466612,0.0005339289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008108554,"about_ca_system_score_gemma":0.001237826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009637147,"about_ca_topic_score_gemma":0.01735512,"domain_scores_codex":[0.9985834,0.0002056059,0.00008468152,0.0004338194,0.0006024434,0.0000899981],"domain_scores_gemma":[0.99951,0.00007791899,0.00006642366,0.00006644279,0.0002669246,0.00001228773],"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":[0.0007448426,0.00012013,0.01906221,0.0002815631,0.0001584735,0.0002946355,0.0003779304,0.001232638,0.9327816,0.000426511,0.0006197458,0.04389973],"study_design_scores_gemma":[0.00004809339,0.0003373197,0.01863264,0.0000405458,0.0001642882,0.0005133671,0.0001755058,0.003842316,0.9673586,0.0003368421,0.00851855,0.00003186872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943806,0.002293481,0.09255049,0.0001315331,0.00009443604,0.0002913666,0.003041678,0.001032754,0.006183559],"genre_scores_gemma":[0.936225,0.001213275,0.05339116,0.0001800059,0.00001983235,0.0002450845,0.00311344,0.000232503,0.005379649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009637147,"threshold_uncertainty_score":0.01916212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698510877577961,"score_gpt":0.3061740648933101,"score_spread":0.2591889561175305,"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."}}