{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01148258,0.0006684414,0.001779926,0.1681657,0.001073644,0.00503491,0.0008605595,0.000825689,0.002797978],"category_scores_gemma":[0.06805403,0.0003116009,0.002806215,0.2213251,0.001024302,0.004076899,0.00263501,0.0005747711,0.0005214156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002644538,"about_ca_system_score_gemma":0.005146367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006374627,"about_ca_topic_score_gemma":0.009929633,"domain_scores_codex":[0.9857827,0.002575867,0.005322312,0.001265744,0.004559969,0.000493383],"domain_scores_gemma":[0.8656543,0.08442111,0.02996991,0.002639283,0.01574295,0.001572293],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004460555,0.00008863769,0.670224,0.06520365,0.005450751,0.00151968,0.006736879,0.001883638,0.001784599,0.003709219,0.01479945,0.2281535],"study_design_scores_gemma":[0.00004664383,0.0001801582,0.8810322,0.02418277,0.006371199,0.002409838,0.008950122,0.002692578,0.001412107,0.002472856,0.07013372,0.0001158062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4937669,0.3984184,0.002181563,0.00554237,0.0004222006,0.0005834183,0.07995697,0.0002245165,0.01890357],"genre_scores_gemma":[0.8195246,0.1495827,0.004629196,0.0004644729,0.000610979,0.0006618486,0.02315937,0.00006752987,0.001299356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9885174,"threshold_uncertainty_score":0.0607264,"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."}}