{"id":"W2998732489","doi":"10.3390/cryst10010012","title":"Probing Trace Elements in Human Tissues with Synchrotron Radiation","year":2019,"lang":"en","type":"article","venue":"Crystals","topic":"Trace Elements in Health","field":"Nursing","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Synchrotron radiation; Synchrotron; Trace element; TRACE (psycholinguistics); X-ray absorption spectroscopy; Characterization (materials science); Chemistry; Materials science; Radiochemistry; Nanotechnology; Optics; Physics; Absorption spectroscopy; Metallurgy","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":[0.0003897517,0.0001416873,0.0002023719,0.0001489796,0.00008411493,0.00004841677,0.0001164376,0.00006148054,0.0003406035],"category_scores_gemma":[0.0000175397,0.0001354278,0.00001930511,0.0001871942,0.00002139694,0.000308036,0.00001789499,0.0001666719,0.00006069414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382266,"about_ca_system_score_gemma":0.0000240934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125969,"about_ca_topic_score_gemma":0.0001514611,"domain_scores_codex":[0.9985547,0.00009883505,0.0003634711,0.00030732,0.0002734264,0.0004022693],"domain_scores_gemma":[0.9994254,0.00004330363,0.0001723957,0.0002791046,0.00002550322,0.00005432337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003176591,0.0004398423,0.761519,0.0007881109,0.00004119873,0.00001672775,0.008202921,0.001312612,0.1677989,0.0009370315,0.001618818,0.05700716],"study_design_scores_gemma":[0.01660865,0.005632667,0.6536608,0.003096106,0.0001153386,0.00003217046,0.004647405,0.001786204,0.1725486,0.002040399,0.1377646,0.002067065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957387,0.0002709643,0.00004016334,0.0003666494,0.0002747908,0.001323749,0.000005119689,0.00009108159,0.001888822],"genre_scores_gemma":[0.998269,0.000003555449,0.0009739486,0.00009568642,0.00008703354,0.00004942802,0.00002249034,0.00003873805,0.0004600864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1361458,"threshold_uncertainty_score":0.5522584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470855474716299,"score_gpt":0.3090618324242411,"score_spread":0.2943532776770781,"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."}}