{"id":"W4220808181","doi":"10.33137/utjph.v3i1.38126","title":"Structural and Systematic Discrimination Driven Misinformation","year":2022,"lang":"en","type":"article","venue":"University of Toronto Journal of Public Health","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Misinformation; Health literacy; Public health; Public relations; Health equity; Social determinants of health; Social distance; Health communication; Political science; Pandemic; Social inequality; Population; Economic growth; Sociology; Psychology; Inequality; Medicine; Health care; Environmental health; Coronavirus disease 2019 (COVID-19); Nursing; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.008844546,0.0005876116,0.0007179832,0.004641628,0.00183313,0.004489322,0.001113174,0.0020192,0.005123049],"category_scores_gemma":[0.03281283,0.0002909343,0.001358547,0.004597208,0.00765063,0.006436553,0.004088881,0.002194136,0.0004503967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005064199,"about_ca_system_score_gemma":0.01351966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007174827,"about_ca_topic_score_gemma":0.00833153,"domain_scores_codex":[0.9883395,0.005941355,0.001333102,0.000831571,0.002900933,0.0006534291],"domain_scores_gemma":[0.9483532,0.0415424,0.005376838,0.00126804,0.00297157,0.0004878801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001234815,0.00008229675,0.02123941,0.09649178,0.0007585575,0.002360998,0.08795454,0.0010495,0.0008639922,0.2335726,0.03010436,0.5253984],"study_design_scores_gemma":[0.00003324993,0.0001456718,0.0242544,0.1957645,0.0008886548,0.003762723,0.07094231,0.0005336604,0.001460848,0.09715012,0.6049315,0.0001324183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07343143,0.704061,0.01296307,0.08487365,0.002874264,0.0005448934,0.0013794,0.0001199632,0.1197523],"genre_scores_gemma":[0.5589769,0.4139361,0.005690176,0.01536135,0.001131471,0.0003928316,0.0004831062,0.00003863141,0.003989427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008844546,"threshold_uncertainty_score":0.04677498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04600035586288024,"score_gpt":0.2950300230251174,"score_spread":0.2490296671622372,"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."}}