{"id":"W4386971393","doi":"10.2196/49416","title":"Twitter Misinformation Discourses About Vaping: Systematic Content Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Misinformation; Narrative; Blame; Social media; Internet privacy; Distrust; Electronic cigarette; Crowdsourcing; Public relations; Psychology; Political science; Advertising; Social psychology; Computer science; Business; Medicine; World Wide Web; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01430694,0.0004209948,0.0005955799,0.01061961,0.002264215,0.0029854,0.0006337684,0.0008179068,0.002211798],"category_scores_gemma":[0.0546595,0.0004299679,0.0005377136,0.00941918,0.002794549,0.004730654,0.004287705,0.0008997709,0.0004448807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003244808,"about_ca_system_score_gemma":0.005442702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005504785,"about_ca_topic_score_gemma":0.01102185,"domain_scores_codex":[0.9877251,0.0077633,0.001339796,0.0008228541,0.00176921,0.0005796463],"domain_scores_gemma":[0.9410793,0.04631692,0.005811899,0.00173424,0.00467113,0.0003864974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002674649,0.0001380503,0.079301,0.007940027,0.0001067772,0.0007534265,0.8125674,0.000222863,0.003542432,0.006397353,0.005746824,0.08301638],"study_design_scores_gemma":[0.00004420987,0.0002001417,0.1139892,0.0084359,0.0002940005,0.0003840478,0.7970721,0.001833181,0.003509172,0.004118389,0.07002799,0.00009170007],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692095,0.003961287,0.005937203,0.002624035,0.00009681562,0.0032813,0.005698957,0.00006324177,0.009127675],"genre_scores_gemma":[0.9670444,0.00412894,0.01484334,0.0008201372,0.00009316421,0.00773268,0.003285797,0.00008744343,0.001964142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01430694,"threshold_uncertainty_score":0.07566327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2801068099915818,"score_gpt":0.5146206462008774,"score_spread":0.2345138362092956,"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."}}