{"id":"W2938470686","doi":"10.1007/s00216-019-01592-w","title":"Lead quantitation challenge","year":2019,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Medical laboratory; Lead (geology); Environmental chemistry; Biochemical engineering; Chemistry; Engineering; Medicine; Biology","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":[0.01083762,0.001282274,0.001782532,0.002643001,0.00178586,0.006047989,0.004570114,0.003794111,0.01807135],"category_scores_gemma":[0.01340058,0.0009285118,0.0008847345,0.001311897,0.003072887,0.005240768,0.005263366,0.004927811,0.0160516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002585911,"about_ca_system_score_gemma":0.003939349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003299961,"about_ca_topic_score_gemma":0.005255762,"domain_scores_codex":[0.9899553,0.001585457,0.0002843632,0.002564628,0.005171448,0.0004388032],"domain_scores_gemma":[0.9854552,0.004440176,0.0005325125,0.001765665,0.007189848,0.0006167134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005952095,0.000340569,0.004383356,0.001827166,0.0001788319,0.000769037,0.0006625825,0.002444717,0.1096031,0.1237935,0.2278931,0.5275088],"study_design_scores_gemma":[0.00004208624,0.0002061585,0.001274186,0.0003263231,0.00009076092,0.001952417,0.0006131784,0.008739654,0.1100252,0.09263925,0.7840156,0.00007514319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0257758,0.04170521,0.604997,0.1743789,0.01571086,0.0005136501,0.003960537,0.01053568,0.1224224],"genre_scores_gemma":[0.2051969,0.03913798,0.3828855,0.07799106,0.01367543,0.0008509138,0.006077117,0.003074519,0.2711106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01807135,"threshold_uncertainty_score":0.06045473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242711179494253,"score_gpt":0.2386291376586853,"score_spread":0.2262020258637428,"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."}}