{"id":"W4409865398","doi":"10.1503/cmaj.250072","title":"Copper deficiency","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Trace Elements in Health","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; World Wide Web; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002276451,0.0008700805,0.000876841,0.0009521319,0.001341963,0.001036114,0.0007393542,0.0008159963,0.05443963],"category_scores_gemma":[0.001348406,0.0001476856,0.0004376015,0.001142075,0.0003919265,0.0004799027,0.0008704097,0.0008193237,0.01149378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009369486,"about_ca_system_score_gemma":0.0009604389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009616044,"about_ca_topic_score_gemma":0.007955038,"domain_scores_codex":[0.9996705,0.00003732041,0.00002846244,0.0000740607,0.00009609712,0.00009353636],"domain_scores_gemma":[0.9996259,0.00003788301,0.0000669849,0.00002926965,0.0001466504,0.00009321954],"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":[0.001352921,0.0008374627,0.0755136,0.001949229,0.0002659998,0.06997984,0.0007627913,0.0002207168,0.01000277,0.01790069,0.440543,0.3806709],"study_design_scores_gemma":[0.0002199826,0.0005623899,0.05992455,0.002143089,0.0003399744,0.2041318,0.0008402307,0.0004306751,0.002296554,0.01321857,0.7158048,0.00008744725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2030239,0.0832634,0.01202849,0.0193003,0.004686704,0.001378728,0.01993653,0.003017795,0.6533642],"genre_scores_gemma":[0.5487077,0.03082373,0.009002027,0.0169351,0.001569094,0.0005676432,0.01433168,0.0003809336,0.3776821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05443963,"threshold_uncertainty_score":0.1821187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00811499810648059,"score_gpt":0.2903684277185221,"score_spread":0.2822534296120415,"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."}}