{"id":"W4410595981","doi":"10.2196/64829","title":"Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024","year":2025,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; The Internet; Computer science; Citation analysis; Human immunodeficiency virus (HIV); Data science; Medicine; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01076808,0.00007805196,0.0007113598,0.0591106,0.00005414219,0.00002320824,0.0004710088,0.00007134587,0.0001702951],"category_scores_gemma":[0.1062793,0.00004697026,0.0001507542,0.08063325,0.0003364354,0.0001333557,0.0003074537,0.001671676,8.434662e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721536,"about_ca_system_score_gemma":0.0006122579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361761,"about_ca_topic_score_gemma":0.0002210989,"domain_scores_codex":[0.9956446,0.000580362,0.001133995,0.0001665063,0.00222806,0.0002464943],"domain_scores_gemma":[0.989906,0.006701843,0.0004476564,0.0002180558,0.002594731,0.0001317414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006093758,0.000684922,0.1540755,0.0004140355,0.002121474,0.00002438327,0.0023212,0.00002108537,0.004184775,0.00009228433,0.009050499,0.8264005],"study_design_scores_gemma":[0.004173239,0.01366428,0.7116189,0.0150593,0.0006933376,0.00003941154,0.1477939,0.07247387,0.007301986,0.00223005,0.02478527,0.0001664466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048293,0.0287074,0.005524414,0.05940785,0.00003315985,0.0004247371,0.00002787057,0.000006297081,0.001038998],"genre_scores_gemma":[0.9953569,0.003650461,0.0006131918,0.00002661928,0.00001721105,0.0000150064,0.000004432924,0.000004286261,0.0003118566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.826234,"threshold_uncertainty_score":0.9515536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09783064505296085,"score_gpt":0.5271098907924912,"score_spread":0.4292792457395303,"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."}}