{"id":"W4205604087","doi":"10.3390/healthcare10010156","title":"Super-Spreaders or Victims of Circumstance? Childhood in Canadian Media Reporting of the COVID-19 Pandemic: A Critical Content Analysis","year":2022,"lang":"en","type":"article","venue":"Healthcare","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Public health; Social media; Content analysis; Narrative; Qualitative research; Psychology; Political science; Medicine; Sociology; Nursing; Social science; Disease; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002725509,0.00006096876,0.0002783681,0.0002559923,0.0005072748,0.00001185248,0.0002197478,0.00005987268,0.000854878],"category_scores_gemma":[0.01678676,0.00004710682,0.0001038032,0.001604676,0.0001736643,0.00009639231,0.00003125006,0.0002233165,4.627653e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009393631,"about_ca_system_score_gemma":0.00615046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8256318,"about_ca_topic_score_gemma":0.9703079,"domain_scores_codex":[0.9975276,0.0004356502,0.0009467077,0.0001219296,0.000580525,0.00038759],"domain_scores_gemma":[0.9982654,0.0003785036,0.0004618676,0.0002039175,0.0001367189,0.0005535919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001036648,0.00001726335,0.6743742,0.00004960135,0.0000180907,0.000005222768,0.3211494,0.00008579699,0.000003452492,0.003340515,0.0001956875,0.0007503416],"study_design_scores_gemma":[0.0002565678,0.00003357037,0.4735896,0.00002373512,0.00003262677,0.000009875536,0.5189372,0.0001037079,0.000006329634,0.0002513559,0.006666027,0.00008937761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528161,0.000208732,0.00001242702,0.0443351,0.0002243049,0.0003551691,0.0001918145,0.00001839909,0.001837923],"genre_scores_gemma":[0.9945851,0.00003868228,0.00001927426,0.005273416,0.00002023068,0.000007698964,0.00001227936,0.000003810089,0.00003953467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2007847,"threshold_uncertainty_score":0.9994838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2904686328610385,"score_gpt":0.4365384519416452,"score_spread":0.1460698190806067,"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."}}