{"id":"W4306954521","doi":"10.1016/j.foodchem.2022.134680","title":"Development of an automated solid phase extraction instrument for determination of lead in high-salt foods","year":2022,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Dye analysis and toxicity","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Reproducibility; Chromatography; Extraction (chemistry); Solid phase extraction; Chemistry; Matrix (chemical analysis); Reagent; Adsorption; Relative standard deviation; Accuracy and precision; Detection limit; Mathematics","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":[0.0009652283,0.0007731598,0.0007620074,0.0007219837,0.0006611796,0.000523267,0.001574169,0.001292773,0.002054003],"category_scores_gemma":[0.001080194,0.0006630382,0.0004684919,0.0004922713,0.0004821028,0.0007621301,0.0006057656,0.0009397978,0.001652599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106346,"about_ca_system_score_gemma":0.001650692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262251,"about_ca_topic_score_gemma":0.002357277,"domain_scores_codex":[0.9988282,0.000129218,0.00007252968,0.0002310918,0.0006752955,0.00006364487],"domain_scores_gemma":[0.9989768,0.0003116625,0.00006327286,0.00008930489,0.0004732006,0.00008576621],"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":[0.0001819103,0.0002070276,0.001358967,0.0001210149,0.00002835086,0.00006450101,0.00005279361,0.0003425726,0.965925,0.0002743143,0.0005426789,0.03090085],"study_design_scores_gemma":[0.00009290943,0.0008634819,0.005826108,0.0000190284,0.00004540286,0.0004938213,0.00003510308,0.01207451,0.9707667,0.000204223,0.009526442,0.00005224661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2975167,0.0008947789,0.6848823,0.0004676167,0.0002975458,0.002517053,0.001739351,0.008383282,0.003301349],"genre_scores_gemma":[0.2810474,0.0006434663,0.7042703,0.000628428,0.00009569062,0.001671271,0.002123496,0.0003442662,0.009175662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002054003,"threshold_uncertainty_score":0.006871343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360496454482178,"score_gpt":0.3258158029112525,"score_spread":0.3022108383664307,"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."}}