{"id":"W3156164127","doi":"10.1186/s12887-021-02674-4","title":"Screening for marginal food security in young children in primary care","year":2021,"lang":"en","type":"article","venue":"BMC Pediatrics","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; St. Michael's Hospital; Hospital for Sick Children; University of Toronto; Queen's University","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; Food insecurity; Food security; Test (biology); Primary care; Environmental health; Supplemental Nutrition Assistance Program; Population; Construct (python library); Family medicine; Pediatrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006231368,0.0001491651,0.0002999735,0.0002890788,0.0004845065,0.00001178365,0.0001573234,0.0003368067,0.00006695592],"category_scores_gemma":[0.0004246105,0.0001777867,0.00008393062,0.0007427951,0.00001751806,0.0001569031,0.0001782229,0.0008269419,0.00002177161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004135995,"about_ca_system_score_gemma":0.001245291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006184661,"about_ca_topic_score_gemma":0.0390816,"domain_scores_codex":[0.9977129,0.0003659522,0.0006466649,0.0003648528,0.0002472716,0.0006623543],"domain_scores_gemma":[0.9987139,0.0005359656,0.0001646198,0.0002577262,0.0001952332,0.0001326266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008920971,0.00007306495,0.9875951,0.001489184,0.000002740783,0.000003581781,0.00659512,0.00008117399,3.7261e-7,0.002961365,0.0009632816,0.0001458265],"study_design_scores_gemma":[0.002529452,0.00007783926,0.9892333,0.0001158913,0.00002419591,0.000002077154,0.004877967,0.0002084772,9.745825e-7,0.00170067,0.001029735,0.0001994738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892387,0.002789944,0.0008772521,0.0003144504,0.0007341566,0.00144731,0.0006752897,0.00006454968,0.003858288],"genre_scores_gemma":[0.9833366,0.0002607919,0.01326609,0.0005621425,0.0009744823,0.0002511346,0.001198381,0.00002961723,0.0001207779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03846313,"threshold_uncertainty_score":0.9784527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066258482006525,"score_gpt":0.3990518541844315,"score_spread":0.292426005983779,"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."}}