{"id":"W3200945865","doi":"10.1039/d1ja00211b","title":"Quantification of local zinc and tungsten deposits in bone with LA-ICP-MS using novel hydroxyapatite–collagen calibration standards","year":2021,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Trace Elements in Health","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; McGill University","funders":"CIHR Skin Research Training Centre; National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tungsten; Zinc; Calibration; Inductively coupled plasma mass spectrometry; Chemistry; Materials science; Mass spectrometry; Metallurgy; Chromatography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070289,0.0001552283,0.0005403899,0.0005310034,0.00005599365,0.00006626003,0.00010329,0.0001248871,0.00005611958],"category_scores_gemma":[0.0002408079,0.0001351615,0.0000769351,0.001091676,0.0001460477,0.0003213387,0.00003375682,0.0003175949,3.563408e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007671824,"about_ca_system_score_gemma":0.0004519191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008923722,"about_ca_topic_score_gemma":0.0002314631,"domain_scores_codex":[0.9975477,0.0001643344,0.0009918367,0.0002352832,0.0007909915,0.0002697895],"domain_scores_gemma":[0.9984991,0.0002793118,0.0005649247,0.0001753932,0.0003236234,0.0001576216],"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":[0.004549767,0.002303015,0.3097329,0.0008793818,0.0007000949,0.0006008191,0.001183575,0.006535982,0.654879,0.008249809,0.0002922989,0.01009327],"study_design_scores_gemma":[0.008655958,0.002167396,0.3841699,0.001690165,0.0009183157,0.003919136,0.002333621,0.2295267,0.3641536,0.001410891,0.0003626199,0.0006916766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8971022,0.000580786,0.1011329,0.0008029144,0.0001249157,0.00009992535,0.0000163306,0.000007179094,0.0001327777],"genre_scores_gemma":[0.9783397,0.0000417294,0.02140969,0.00006130549,0.0001067357,4.14082e-7,0.00000361591,0.00002528611,0.00001150916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2907255,"threshold_uncertainty_score":0.5511727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890457946245527,"score_gpt":0.3107533156920955,"score_spread":0.2918487362296402,"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."}}