{"id":"W2997209083","doi":"10.1093/jn/nxz312","title":"Whey Protein and Its Components Lactalbumin and Lactoferrin Affect Energy Balance and Protect against Stroke Onset and Renal Damage in Salt-Loaded, High-Fat Fed Male Spontaneously Hypertensive Stroke-Prone Rats","year":2019,"lang":"en","type":"article","venue":"Journal of Nutrition","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates Bio Solutions; Canada Foundation for Innovation; Ministry of Advanced Education, Government of Alberta; Alberta Livestock and Meat Agency; Heart and Stroke Foundation of Canada","keywords":"Lactoferrin; Stroke (engine); Lactalbumin; Endocrinology; Internal medicine; Whey protein; Affect (linguistics); Medicine; Food science; Chemistry; Biochemistry; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719869,0.0006227214,0.0007548778,0.0006976933,0.0003866514,0.0003614639,0.0003040493,0.0006695856,0.001230454],"category_scores_gemma":[0.0002071194,0.0004512153,0.0004220045,0.0003116781,0.0006312877,0.0008444846,0.0003022107,0.001351385,0.0002172194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000444416,"about_ca_system_score_gemma":0.0004188619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276867,"about_ca_topic_score_gemma":0.003147478,"domain_scores_codex":[0.999817,0.00002219091,0.00001456201,0.00004283279,0.00002784067,0.00007559453],"domain_scores_gemma":[0.9996164,0.00002557813,0.00009835744,0.00003736846,0.00003332552,0.0001889517],"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":[0.03252709,0.001969607,0.001239154,0.00008975801,0.00007230895,0.0001512288,0.000111617,0.00009041904,0.9602687,0.0001235691,0.0001198477,0.003236555],"study_design_scores_gemma":[0.0006965261,0.01280572,0.03884068,0.00002666111,0.0004271684,0.0002219247,0.0004421107,0.001457288,0.9431971,0.0003647706,0.001467237,0.00005280189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988673,0.0003738922,0.0003046566,0.00008392842,0.00002584935,0.000008854076,0.0001379716,0.00002785213,0.0001698534],"genre_scores_gemma":[0.9948107,0.0007264989,0.0006628501,0.0001081902,0.00001850538,0.00003563557,0.0003202303,0.000034315,0.003283094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002276867,"threshold_uncertainty_score":0.004527152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299965564141031,"score_gpt":0.238499864571708,"score_spread":0.2255002089302977,"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."}}