{"id":"W2146898801","doi":"10.1503/cmaj.140555","title":"Consumption of non–cow’s milk beverages and serum vitamin D levels in early childhood","year":2014,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Institute of Nutrition, Metabolism and Diabetes; Sick Kids Foundation; Canadian Institutes of Health Research; Hospital for Sick Children; Institute of Human Development, Child and Youth Health; St. Michael's Hospital Foundation","keywords":"Medicine; Cow milk; Logistic regression; Vitamin D and neurology; Anthropometry; Animal science; Food science; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004675044,0.0003621494,0.0004066905,0.0007306221,0.0004284822,0.0005895292,0.0003477958,0.000502167,0.001973788],"category_scores_gemma":[0.001427764,0.0004367728,0.000525779,0.001224358,0.0002220288,0.0003443947,0.0003302503,0.0005660914,0.000267001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610567,"about_ca_system_score_gemma":0.0004703949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039551,"about_ca_topic_score_gemma":0.02477581,"domain_scores_codex":[0.9996423,0.0001027536,0.00002838934,0.00005606682,0.00008762513,0.00008298823],"domain_scores_gemma":[0.998751,0.000243162,0.0006323178,0.00003559916,0.0001289761,0.000208883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001378595,0.00004771158,0.9985782,0.00002872604,0.00003416967,0.00004490692,0.00006785963,0.000023177,0.0002178151,0.000007731096,0.00006155153,0.0007503548],"study_design_scores_gemma":[0.00000202321,0.00006350546,0.9995674,0.000008455477,0.00001780213,0.00009706913,0.00005480615,0.00002476227,0.00006379842,0.000003780513,0.00009536318,0.000001236444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979064,0.001145788,0.0000411204,0.00005346983,0.000005487641,0.000008057938,0.000539569,0.000005089314,0.0002950004],"genre_scores_gemma":[0.9983998,0.000636535,0.0001977387,0.0000212109,0.000006220248,0.0000147217,0.0003914548,0.000002681727,0.0003296625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02039551,"threshold_uncertainty_score":0.04055363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103289378844581,"score_gpt":0.2644661684351774,"score_spread":0.2541372305507193,"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."}}