{"id":"W4365517464","doi":"10.1016/j.dib.2023.109118","title":"A Twitter dataset for Monkeypox, May 2022","year":2023,"lang":"en","type":"article","venue":"Data in Brief","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Monkeypox; Social media; Computer science; Misinformation; Geography; World Wide Web; Computer security; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004394435,0.001457481,0.000793613,0.00249654,0.001186637,0.001121923,0.0009994545,0.001798552,0.01026957],"category_scores_gemma":[0.002434841,0.0002650016,0.0007784676,0.002812625,0.0002905786,0.001216614,0.001222978,0.0009223006,0.02027646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009343949,"about_ca_system_score_gemma":0.0009314331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01843614,"about_ca_topic_score_gemma":0.03948173,"domain_scores_codex":[0.9992971,0.0001112033,0.0001167419,0.0001650887,0.0001867292,0.0001231158],"domain_scores_gemma":[0.9992866,0.0001437768,0.00009026027,0.0001337433,0.0002486559,0.00009695932],"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":[0.0003577578,0.0001299882,0.009618623,0.001250412,0.00006916381,0.0004556759,0.0002353388,0.001190008,0.002100708,0.0006656934,0.9716231,0.01230349],"study_design_scores_gemma":[0.0002357625,0.000177015,0.04876094,0.0003397671,0.00007989577,0.0006989373,0.001057795,0.008346895,0.002294135,0.001111868,0.936792,0.0001050297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006755379,0.0003454578,0.0001849736,0.0003253544,0.0001720449,0.0000759293,0.9891921,0.0006771152,0.002271539],"genre_scores_gemma":[0.006024381,0.0001395868,0.0005809636,0.0001045937,0.00004860198,0.0001400619,0.9916432,0.00004343594,0.001275188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01843614,"threshold_uncertainty_score":0.03665763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1583757714890455,"score_gpt":0.4206220384313866,"score_spread":0.2622462669423412,"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."}}