{"id":"W6958635288","doi":"10.6084/m9.figshare.23207812","title":"Additional file 2 of Prevalence and sociodemographic correlates of food insecurity among post-secondary students and non-students of similar age in Canada","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Food insecurity; Population; Epidemiology; Logistic regression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008274218,0.0000688572,0.0001900342,0.0000938591,0.00008645574,0.00001096513,0.0002247798,0.00006758824,0.4187129],"category_scores_gemma":[0.0004807102,0.00006587904,0.00004736853,0.0004066278,0.0001090809,0.0001247664,0.0001508538,0.00009700047,0.00000299647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002558536,"about_ca_system_score_gemma":0.0003741357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05972839,"about_ca_topic_score_gemma":0.6909953,"domain_scores_codex":[0.9990134,0.00006814722,0.000204858,0.0001406408,0.0004463728,0.0001266073],"domain_scores_gemma":[0.9990757,0.0005277072,0.0001659194,0.00006892522,0.00009901288,0.0000627304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005974354,0.00005163259,0.548566,0.0005094049,0.00008375268,0.00001270175,0.003186311,0.000004444148,0.000004588422,0.000003150511,0.4474654,0.0001065502],"study_design_scores_gemma":[0.0001301822,0.00003108938,0.9959357,0.001003426,0.00001119217,1.005873e-7,0.0009367359,0.00001548283,0.00001403534,0.00008129258,0.001775249,0.00006544843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5012988,0.00007040875,4.521233e-10,0.00000576205,0.000005659132,0.00006467618,0.4984508,0.000002582726,0.0001012963],"genre_scores_gemma":[0.9286686,0.00002255001,0.000002037986,0.00001380411,0.000009013268,0.00004189478,0.07110858,0.000003390602,0.0001300803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.631267,"threshold_uncertainty_score":0.946533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349315752765304,"score_gpt":0.2447168550498496,"score_spread":0.2312236975221966,"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."}}