{"id":"W7065668001","doi":"","title":"Elemental analysis of dried blood spots using total reflection X-ray fluorescence spectroscopy","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dried blood; Venipuncture; Primary standard; Elemental analysis; Protocol (science); Dried blood spot; Human blood; Phase (matter); Selenium","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":[0.001376598,0.0008249815,0.0004565822,0.001968304,0.0006326745,0.0007325246,0.0009281244,0.0008169719,0.00255059],"category_scores_gemma":[0.001618096,0.000308401,0.0004626067,0.001119967,0.000500702,0.0002675137,0.0004733261,0.0004298851,0.001425284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020764,"about_ca_system_score_gemma":0.0009954779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006214981,"about_ca_topic_score_gemma":0.01679633,"domain_scores_codex":[0.9982664,0.0002270045,0.0001104129,0.0004050158,0.0009252563,0.00006592689],"domain_scores_gemma":[0.9991558,0.0001277155,0.0001395217,0.0000617746,0.0004873196,0.00002796844],"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":[0.000514261,0.0001725442,0.04728512,0.0006379983,0.000151048,0.0003641673,0.0005495867,0.0005539674,0.8793088,0.0005029768,0.001762312,0.06819722],"study_design_scores_gemma":[0.00003050132,0.0006916561,0.1020078,0.0001415341,0.0001637768,0.00164839,0.0005395929,0.004919332,0.8730377,0.0005869382,0.01615637,0.00007640272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7507301,0.004212659,0.2153685,0.0005572679,0.0001849066,0.001394895,0.01049365,0.002607192,0.01445084],"genre_scores_gemma":[0.5944141,0.004503087,0.3720219,0.0006922469,0.00004989154,0.001220784,0.005274416,0.0003061288,0.0215175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006214981,"threshold_uncertainty_score":0.01235759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654505682547507,"score_gpt":0.2699400884498082,"score_spread":0.2533950316243331,"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."}}