{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001988902,0.0002803387,0.0005052434,0.001836281,0.0009710449,0.00140081,0.0006859472,0.0007271529,0.005936598],"category_scores_gemma":[0.008058968,0.0005482608,0.0006042087,0.001499459,0.0005294356,0.002201663,0.001473363,0.000966344,0.001594272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112206,"about_ca_system_score_gemma":0.0009255635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108695,"about_ca_topic_score_gemma":0.01489474,"domain_scores_codex":[0.9987685,0.0002768156,0.0001932166,0.0001975654,0.0003044644,0.0002594019],"domain_scores_gemma":[0.9953771,0.001112432,0.001934219,0.00021039,0.000920743,0.0004450499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001754773,0.0002093631,0.9884551,0.0003538041,0.00004612881,0.0002254837,0.005764809,0.0000168157,0.0002544332,0.00006618835,0.0009029567,0.003529439],"study_design_scores_gemma":[0.000008848489,0.0003616145,0.9789172,0.0002895077,0.00007066432,0.0005678983,0.01761144,0.0001439114,0.0001294708,0.00003774839,0.001839137,0.00002250034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961495,0.0004351474,0.0001313483,0.00008023338,0.00001767209,0.0001567737,0.001417207,0.000004913858,0.001607134],"genre_scores_gemma":[0.9959881,0.0007086675,0.0003399564,0.000198317,0.00002653156,0.0002866062,0.001162061,0.00001308644,0.001276673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108695,"threshold_uncertainty_score":0.02204484,"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."}}