{"id":"W2138694223","doi":"10.3390/nu7085277","title":"Assessment of Pre-Pregnancy Dietary Intake with a Food Frequency Questionnaire in Alberta Women","year":2015,"lang":"en","type":"article","venue":"Nutrients","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Health Solutions","keywords":"Pregnancy; Medicine; Food frequency questionnaire; Micronutrient; Alcohol intake; Vitamin B12; Dietary Reference Intake; Vitamin D and neurology; Environmental health; Saturated fat; Physiology; Nutrient; Alcohol; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000793066,0.0001616325,0.0002036199,0.0009567582,0.000553617,0.0003241032,0.0005116743,0.0002962188,0.0013481],"category_scores_gemma":[0.001983176,0.0002344837,0.0002077468,0.001572774,0.0001988436,0.0001505155,0.0003319504,0.00028093,0.0002847595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106186,"about_ca_system_score_gemma":0.001687261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4319084,"about_ca_topic_score_gemma":0.4799368,"domain_scores_codex":[0.9995556,0.0001083867,0.00004122065,0.00005904502,0.0001726502,0.00006304057],"domain_scores_gemma":[0.9996091,0.00006095156,0.0001155182,0.00002746815,0.0001339792,0.00005313157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001289973,0.00009013504,0.9892784,0.00003167763,0.00002011121,0.0001731191,0.0008747513,0.0000419526,0.0004197143,0.00002201034,0.0003163257,0.008602965],"study_design_scores_gemma":[0.000005654412,0.00005547038,0.9991137,0.0000089298,0.00000602558,0.00009441688,0.0003085209,0.00006756216,0.00005795001,0.000008697564,0.0002704791,0.000002564317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969559,0.0002619979,0.000152347,0.00007410328,0.000004275234,0.00007268968,0.0007143008,0.000006412343,0.001757971],"genre_scores_gemma":[0.9959884,0.0003822625,0.0007651178,0.00009283401,0.000003004817,0.0001116926,0.0007819372,0.000002822476,0.001871914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4319084,"threshold_uncertainty_score":0.8587888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413922041411503,"score_gpt":0.3084842878863701,"score_spread":0.2843450674722551,"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."}}