{"id":"W7092292429","doi":"10.14288/1.0450363","title":"The Accuracy of Potassium Content on Food Labels in Canada","year":2025,"lang":"en","type":"article","venue":"Open Collections","topic":"Potassium and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Potassium; Significant difference; Food labeling; Food products","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01245914,0.0004863194,0.0006610331,0.005174423,0.002893565,0.003317366,0.003394681,0.0007393144,0.003587287],"category_scores_gemma":[0.04153167,0.0005511285,0.0007140157,0.009420253,0.001746135,0.0009034533,0.002053874,0.00086934,0.0008747127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05078183,"about_ca_system_score_gemma":0.05489946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913301,"about_ca_topic_score_gemma":0.9902885,"domain_scores_codex":[0.9768645,0.001869101,0.001542582,0.002202746,0.01625517,0.001265824],"domain_scores_gemma":[0.9282266,0.005309986,0.005089563,0.001994963,0.05801161,0.001367221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008940421,0.00007229758,0.8351071,0.001436323,0.0003172082,0.0004295992,0.006910744,0.001013225,0.001375904,0.00191533,0.02537327,0.1251549],"study_design_scores_gemma":[0.00002665207,0.00007916261,0.9510638,0.0009402035,0.0001151222,0.000184798,0.003315334,0.002608537,0.002000026,0.0004660539,0.03908781,0.0001124764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8375959,0.01545076,0.006277303,0.007200492,0.0007308616,0.0004778773,0.04781685,0.0005364926,0.08391339],"genre_scores_gemma":[0.9750381,0.003955181,0.005320953,0.0009557992,0.0000410741,0.00007513556,0.006902956,0.0001066916,0.007604292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05078183,"threshold_uncertainty_score":0.3684497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479312743873344,"score_gpt":0.2709766157437544,"score_spread":0.246183488305021,"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."}}