{"id":"W2125660710","doi":"10.1111/jebm.12137","title":"Health equity in humanitarian emergencies: a role for evidence aid","year":2015,"lang":"en","type":"article","venue":"Journal of Evidence-Based Medicine","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cochrane; Bruyère","funders":"Canadian Institutes of Health Research","keywords":"Health equity; Equity (law); Health care; Disadvantaged; Psychological intervention; Business; Political science; Public relations; Economic growth; Public economics; Medicine; Economics; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3600235,0.001661915,0.00474925,0.01521617,0.00610513,0.03896954,0.007373513,0.02857766,0.01070759],"category_scores_gemma":[0.4330617,0.001718017,0.003407755,0.01079046,0.04272947,0.04914139,0.04318999,0.03464449,0.00101796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02005752,"about_ca_system_score_gemma":0.08385427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006311846,"about_ca_topic_score_gemma":0.008774093,"domain_scores_codex":[0.7638999,0.1885014,0.0175455,0.004969473,0.01955846,0.005525269],"domain_scores_gemma":[0.2280297,0.6922306,0.01821818,0.01821744,0.02677224,0.01653187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001888477,0.0002468726,0.00271616,0.01936815,0.0005518298,0.0003360954,0.004505904,0.001012486,0.0001589158,0.5467944,0.08497509,0.3391454],"study_design_scores_gemma":[0.0002887614,0.000321832,0.002217109,0.1213364,0.0003275333,0.0004164297,0.00990273,0.000682404,0.0002408409,0.5055397,0.358497,0.0002292778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005461935,0.1241792,0.003801679,0.8583965,0.003779972,0.0001407298,0.00004957378,0.00005139899,0.009054743],"genre_scores_gemma":[0.1911886,0.3581189,0.0965367,0.3315118,0.01745833,0.001910206,0.0002149779,0.0001594073,0.00290103],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3600235,"threshold_uncertainty_score":0.789205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7822702770008315,"score_gpt":0.6122804426939947,"score_spread":0.1699898343068368,"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."}}