{"id":"W4282004626","doi":"10.2196/35012","title":"Correction: Health Literacy, Equity, and Communication in the COVID-19 Era of Misinformation: Emergence of Health Information Professionals in Infodemic Management","year":2022,"lang":"en","type":"erratum","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Western University","funders":"","keywords":"Misinformation; Health literacy; Coronavirus disease 2019 (COVID-19); Health equity; Health information; 2019-20 coronavirus outbreak; Equity (law); Health communication; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health professionals; Public relations; Medicine; Political science; Psychology; Health care; Economic growth; Nursing; Economics; Public health; Virology; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0140035,0.0002197785,0.0007151765,0.0006987762,0.0005451883,0.00004779859,0.001006684,0.0003633221,0.0004410938],"category_scores_gemma":[0.001113459,0.0001935057,0.00007448495,0.0011694,0.0003440127,0.001455657,0.0008395414,0.00151767,0.00000505788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629498,"about_ca_system_score_gemma":0.003125913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008223736,"about_ca_topic_score_gemma":0.002847035,"domain_scores_codex":[0.992718,0.00284175,0.002929789,0.0001563723,0.0008730957,0.0004810005],"domain_scores_gemma":[0.9951354,0.0006786463,0.00332503,0.000543981,0.0001657119,0.000151278],"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":[0.00003527691,0.00005493368,0.001188645,0.0009694956,0.000007598678,1.279949e-7,0.2860673,0.0004167313,1.163397e-8,0.01401541,0.661021,0.03622351],"study_design_scores_gemma":[0.0007700554,0.0002117445,0.04199994,0.0006925951,0.000005284595,0.0000103828,0.1238218,0.001956099,7.65144e-8,0.00320439,0.8270821,0.0002454784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0139315,0.0135081,0.003110574,0.3947175,0.02642996,0.01830287,0.0005313259,0.0002734653,0.5291947],"genre_scores_gemma":[0.6920089,0.09037589,0.002123354,0.1979997,0.0002853379,0.001153134,0.00766509,0.00004064455,0.008347904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6780774,"threshold_uncertainty_score":0.9983806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08345741483298887,"score_gpt":0.4815399786102316,"score_spread":0.3980825637772428,"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."}}