{"id":"W4307459808","doi":"10.2196/38316","title":"Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Misinformation; Layperson; Social media; Cross-sectional study; Coronavirus disease 2019 (COVID-19); Pandemic; Health communication; Public health; Medicine; Family medicine; Internet privacy; Psychology; Public relations; Computer science; Nursing; World Wide Web; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003367926,0.00008928582,0.0001347472,0.0001538806,0.002225911,0.00009702129,0.0002616289,0.00008216139,0.0006753935],"category_scores_gemma":[0.00214769,0.00009097545,0.00002629349,0.000249009,0.0001523577,0.0004659989,0.0002160885,0.0003483403,0.00002860419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311984,"about_ca_system_score_gemma":0.000275032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064963,"about_ca_topic_score_gemma":0.000265139,"domain_scores_codex":[0.9981324,0.0007291404,0.0004817044,0.0001230913,0.0003188968,0.0002147298],"domain_scores_gemma":[0.9986318,0.0005449355,0.0003179135,0.0002187817,0.00006931949,0.0002172129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004420994,0.00006880894,0.8296272,0.000009190423,0.000009318356,2.478756e-7,0.1172431,0.005794966,0.000006341766,0.04136835,0.005155361,0.0006729037],"study_design_scores_gemma":[0.0009807721,0.0002622247,0.9262151,0.00000181726,0.00000277449,0.00000786892,0.02699297,0.001774384,0.000001120981,0.003764555,0.03986621,0.0001301667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778581,0.00001642471,0.00008155882,0.003079863,0.0001306781,0.0006611742,0.00001118511,0.0001179995,0.018043],"genre_scores_gemma":[0.989897,0.00001359399,0.0001402481,0.009475722,0.00004555139,0.00007165052,0.00005959925,0.000004158647,0.0002924946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09658794,"threshold_uncertainty_score":0.999073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147050181719093,"score_gpt":0.4513373808808579,"score_spread":0.3366323627089486,"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."}}