{"id":"W1551412686","doi":"10.1002/9783527628100.ch16","title":"Genetic Defects in Iron and Copper Trafficking","year":2009,"lang":"en","type":"other","venue":"","topic":"Trace Elements in Health","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Copper; Metallurgy; Materials science","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":[0.0001520963,0.0005690134,0.0003758572,0.001134327,0.000356973,0.0005811822,0.0003863176,0.0005496235,0.08622477],"category_scores_gemma":[0.0003412454,0.0001509848,0.0002786076,0.0007933873,0.0002401443,0.0005463012,0.0005034332,0.0007002588,0.02615133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006701627,"about_ca_system_score_gemma":0.0007239397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003758012,"about_ca_topic_score_gemma":0.006065971,"domain_scores_codex":[0.9998978,0.000009309086,0.00001234751,0.00001716474,0.00005245811,0.00001087502],"domain_scores_gemma":[0.9999098,0.00002966857,0.000009749687,0.000006660258,0.00003327041,0.00001090475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005252107,0.0000703768,0.000359728,0.0009128604,0.000005529791,0.0004875635,0.0001602325,0.0002057922,0.009881714,0.02430694,0.6087551,0.3548016],"study_design_scores_gemma":[0.000002393964,0.00001527505,0.000771293,0.0002885563,0.000003927817,0.0003426485,0.00004944654,0.00003371,0.00261197,0.002363107,0.9935125,0.000005389928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00515102,0.06307361,0.01474217,0.009903115,0.008119159,0.0001800385,0.008264536,0.001325402,0.8892408],"genre_scores_gemma":[0.007546757,0.05888612,0.008820656,0.001838509,0.0007566716,0.0001338393,0.003895504,0.0003400101,0.9177819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08622477,"threshold_uncertainty_score":0.2884506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137888585755312,"score_gpt":0.2883983005861671,"score_spread":0.2746094420106359,"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."}}