{"id":"W6977207644","doi":"10.6084/m9.figshare.27978303.v1","title":"Additional file 1 of The complexity of addressing equity in COVID-19-related global health governance and population health research priorities in Canada: a multilevel qualitative study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Equity (law); Qualitative research; Global health; Health equity; Population; Corporate governance; Population health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006102722,0.0003881506,0.0007316606,0.00373349,0.006320878,0.004989237,0.001799299,0.001231357,0.5666786],"category_scores_gemma":[0.06506366,0.0005294573,0.0004909844,0.01079443,0.001427066,0.002712661,0.002276108,0.001580711,0.02206553],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03570165,"about_ca_system_score_gemma":0.06473915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8496644,"about_ca_topic_score_gemma":0.9271405,"domain_scores_codex":[0.9977477,0.0008598689,0.0001908815,0.000203191,0.0005630665,0.0004352105],"domain_scores_gemma":[0.884588,0.09396168,0.00142738,0.002014934,0.0149459,0.003062084],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005846925,0.00009170529,0.006136921,0.001535598,0.00001217033,0.000173094,0.02034699,0.0003617812,0.00004540308,0.006737092,0.9498966,0.01460406],"study_design_scores_gemma":[0.0003826052,0.00004595264,0.03463273,0.0053542,0.00004818341,0.0002252509,0.1305593,0.001552872,0.0002291822,0.01051313,0.8162717,0.0001849526],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008658266,0.0001531192,0.001295009,0.006050626,0.0001566168,0.00132224,0.9525202,0.0002746125,0.02956927],"genre_scores_gemma":[0.3050472,0.001892749,0.04215092,0.01050153,0.0002599216,0.03318179,0.4156922,0.001677218,0.1895964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9938973,"threshold_uncertainty_score":0.6180804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4982210634735185,"score_gpt":0.5640622091042893,"score_spread":0.06584114563077076,"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."}}