{"id":"W4393854653","doi":"10.2196/53375","title":"Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Salient; Valence (chemistry); Social media; Human immunodeficiency virus (HIV); Pandemic; Content analysis; Coronavirus disease 2019 (COVID-19); Public health; Virology; Psychology; Computer science; Medicine; Artificial intelligence; Sociology; World Wide Web; Chemistry; Infectious disease (medical specialty); Social science","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":[0.004060637,0.0003419524,0.0005035002,0.005359286,0.0008094689,0.00194659,0.0004744351,0.0006544692,0.00164347],"category_scores_gemma":[0.02395931,0.0002253252,0.0005075749,0.004343417,0.0009580398,0.002475845,0.001572109,0.0007949531,0.0005414578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229238,"about_ca_system_score_gemma":0.0007620019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004028963,"about_ca_topic_score_gemma":0.003620288,"domain_scores_codex":[0.997359,0.001161048,0.0002895967,0.0003949215,0.000559095,0.0002363489],"domain_scores_gemma":[0.9564317,0.03492984,0.004755714,0.0009860017,0.002344111,0.0005525828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006396999,0.0004549881,0.8401833,0.001287671,0.0001306567,0.0004047493,0.06894496,0.001131083,0.005946761,0.001972441,0.004179697,0.07472411],"study_design_scores_gemma":[0.00003401186,0.0003226693,0.907111,0.0003468898,0.0001178942,0.0002637864,0.05196491,0.02554293,0.003812756,0.001843918,0.008560461,0.00007866352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955229,0.0001011261,0.0009229995,0.0001884948,0.000007656671,0.0001804458,0.001834266,0.00002672127,0.001215336],"genre_scores_gemma":[0.9916972,0.0001485306,0.003682618,0.00008015306,0.00003644855,0.0005702715,0.003110715,0.00001944722,0.0006546102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005359286,"threshold_uncertainty_score":0.02147496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2991185078702947,"score_gpt":0.4772158272711747,"score_spread":0.17809731940088,"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."}}