{"id":"W6920790364","doi":"10.6084/m9.figshare.26757658.v1","title":"Additional file 1 of Health and non-health benefits and equity impacts of individual-level economic relief programs during epidemics/pandemics in high income settings: a scoping review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; York University; University of Toronto; University Health Network","funders":"","keywords":"Equity (law); MEDLINE; High income countries; Cost–benefit analysis; Economic impact analysis","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003366386,0.001303351,0.002895158,0.007713616,0.0006975367,0.001427039,0.001966708,0.001771961,0.8305305],"category_scores_gemma":[0.04540212,0.0007060889,0.00264269,0.01232713,0.0002966566,0.002885026,0.001051559,0.0007476005,0.03899877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116686,"about_ca_system_score_gemma":0.005549872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181132,"about_ca_topic_score_gemma":0.02670997,"domain_scores_codex":[0.9982088,0.0004040012,0.0006863608,0.0002156593,0.0003455981,0.0001397103],"domain_scores_gemma":[0.9631556,0.0297909,0.002972515,0.0004712722,0.00325023,0.0003594617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001925931,0.0001194167,0.001244737,0.3316839,0.0004825353,0.0001404298,0.0001350912,0.0007291961,0.0001634189,0.002482246,0.6303921,0.03050098],"study_design_scores_gemma":[0.02699589,0.001060167,0.03843303,0.2046671,0.003982368,0.0006901045,0.0006041736,0.002358087,0.0006519518,0.01108103,0.7092096,0.0002663762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001609557,0.0004840531,0.0001218691,0.0002118074,0.00004082627,0.0009839922,0.9957615,0.00005436355,0.002180654],"genre_scores_gemma":[0.01947437,0.009483102,0.008857412,0.001808141,0.0004954273,0.04835177,0.8780832,0.0003514193,0.03309509],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8305305,"threshold_uncertainty_score":0.2417276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2863437114273846,"score_gpt":0.4634794312643182,"score_spread":0.1771357198369336,"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."}}