{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136468,0.00004473474,0.00006734394,0.00008315017,0.0001432305,0.0001019278,0.000558425,0.00003930227,0.0006723326],"category_scores_gemma":[0.0008234888,0.00004357419,0.000009627149,0.0003981784,0.00005215091,0.0007930279,0.0001807775,0.00005254859,0.0005435784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002117072,"about_ca_system_score_gemma":0.00008263982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661758,"about_ca_topic_score_gemma":0.001484438,"domain_scores_codex":[0.999229,0.00003631616,0.0001388052,0.0001348936,0.0002153297,0.0002456687],"domain_scores_gemma":[0.9992825,0.000110743,0.00003557084,0.0004846742,0.00001338924,0.00007313318],"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":[0.000005188097,0.000007407279,0.0001668305,0.000006127254,0.000001999197,0.000001437598,0.004004391,0.000001329871,0.000005457543,0.001560128,0.9899715,0.004268216],"study_design_scores_gemma":[0.0002272861,0.000006195403,0.00310035,0.000005679696,0.000001866706,2.151143e-7,0.002895372,0.0005163838,0.000007347843,0.000277436,0.9928985,0.00006331828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.246691,0.0001888221,0.00210079,0.1313311,0.004384423,0.004945714,0.4673644,0.0009076621,0.142086],"genre_scores_gemma":[0.2927984,0.00086911,0.002335403,0.03332569,0.001574184,0.00007226774,0.6309272,0.00005716519,0.03804052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1635628,"threshold_uncertainty_score":0.736157,"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."}}