{"id":"W4283069048","doi":"10.2196/32718","title":"User- and Message-Level Correlates of Endorsement and Engagement for HIV-Related Messages on Twitter: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Cross-sectional study; Social media; Human immunodeficiency virus (HIV); Psychology; Internet privacy; Cross-platform; Advertising; Environmental health; Computer science; World Wide Web; Medicine; Business; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002175182,0.0002531293,0.0003781888,0.0009140086,0.0007145671,0.001078111,0.0003253086,0.0007004197,0.002894151],"category_scores_gemma":[0.005970901,0.0004667159,0.000602031,0.001063396,0.0002994305,0.001459345,0.0007997973,0.0009530095,0.0007546929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610713,"about_ca_system_score_gemma":0.0002901293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00364571,"about_ca_topic_score_gemma":0.005597081,"domain_scores_codex":[0.9991549,0.0002818921,0.0001228208,0.000164735,0.0001649768,0.000110694],"domain_scores_gemma":[0.9954433,0.001418881,0.001762708,0.0003191883,0.0006104497,0.0004454832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004491442,0.0001035826,0.997636,0.00003067493,0.00004952885,0.00001606712,0.0006913631,0.00001152732,0.0001087037,0.00001408849,0.0001243497,0.001169244],"study_design_scores_gemma":[0.000003257039,0.0001600129,0.997815,0.00001809369,0.00003261495,0.00006866244,0.001427559,0.0001494691,0.00005241433,0.00001802107,0.0002495393,0.000005391169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980997,0.0001080121,0.0001457019,0.00004196011,0.000008653988,0.00007904462,0.0009520359,0.000005622226,0.000559182],"genre_scores_gemma":[0.9979088,0.0001440009,0.000437441,0.00006648772,0.00001595979,0.000140072,0.0007526976,0.000004964893,0.0005295406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00364571,"threshold_uncertainty_score":0.01150358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140640571502096,"score_gpt":0.415719299101984,"score_spread":0.275078727599888,"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."}}