{"id":"W2740315567","doi":"10.1088/1361-6579/aa82d8","title":"The feasibility of <i>in vivo</i> detection of lanthanum using a <sup>241</sup> Am K x-ray fluorescence system","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Lanthanum carbonate; X-ray fluorescence; Semiconductor detector; In vivo; Lanthanum; Radiochemistry; Detection limit; Nuclear medicine; Materials science; Chemistry; Fluorescence; Analytical Chemistry (journal); Biomedical engineering; Detector; Physics; Calcium; Medicine; Optics; Chromatography; 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":[0.0006322451,0.0003449134,0.0001380557,0.0001469679,0.0002273009,0.0004920217,0.0004005414,0.0005992051,0.001117291],"category_scores_gemma":[0.0008985722,0.0002158506,0.0001461966,0.00009414266,0.000663857,0.0005080773,0.0003027612,0.0004069894,0.0003291452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112042,"about_ca_system_score_gemma":0.0004140822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006398619,"about_ca_topic_score_gemma":0.0005980679,"domain_scores_codex":[0.9997252,0.0001061408,0.000009613155,0.00008130148,0.00005606558,0.00002171689],"domain_scores_gemma":[0.9994664,0.0002587858,0.0001229438,0.00003681964,0.00008736757,0.00002776203],"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":[0.000106449,0.00001263049,0.0003000034,0.00003169222,0.000002229199,0.00001557121,0.00002790447,0.00005982435,0.9976562,0.0001039757,0.00003094251,0.00165259],"study_design_scores_gemma":[0.0000180604,0.0004731665,0.002319944,0.000006673578,0.00001984934,0.0002948957,0.00006351576,0.001310956,0.9940804,0.00005139231,0.001350846,0.00001046914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734339,0.001773242,0.1201718,0.0004888393,0.00006060262,0.0001513098,0.0001528221,0.0002691469,0.003498321],"genre_scores_gemma":[0.9049613,0.0008111907,0.09204858,0.0001359629,0.00002176609,0.0001109757,0.0001152869,0.0000540777,0.001740729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001117291,"threshold_uncertainty_score":0.003737688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08359401979808433,"score_gpt":0.2625298543915058,"score_spread":0.1789358345934215,"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."}}