{"id":"W2522759504","doi":"10.2196/publichealth.6392","title":"How Best to Obtain Valid, Verifiable Data Online From Male Couples? Lessons Learned From an eHealth HIV Prevention Intervention for HIV-Negative Male Couples","year":2016,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Human immunodeficiency virus (HIV); eHealth; Intervention (counseling); Verifiable secret sharing; Psychology; Men who have sex with men; Internet privacy; Computer science; Medicine; Family medicine; Health care; Psychiatry; Set (abstract data type)","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"],"consensus_categories":[],"category_scores_codex":[0.1097049,0.001181807,0.001488532,0.001199723,0.005474664,0.006539113,0.005299177,0.004367152,0.002971713],"category_scores_gemma":[0.1501916,0.0008423112,0.00144631,0.00104428,0.007696896,0.01438217,0.007120872,0.00733425,0.0006201031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004132722,"about_ca_system_score_gemma":0.01588047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004970931,"about_ca_topic_score_gemma":0.01421997,"domain_scores_codex":[0.8920782,0.09711336,0.00223889,0.001647112,0.004528886,0.002393573],"domain_scores_gemma":[0.8524627,0.1223619,0.003906101,0.004916325,0.008605483,0.007747398],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004648779,0.003571219,0.008571028,0.01037476,0.0001607628,0.003298628,0.2259092,0.0006423071,0.00190152,0.005433579,0.02485705,0.714815],"study_design_scores_gemma":[0.001652124,0.01350089,0.02301233,0.03216136,0.0006528301,0.00766626,0.5702311,0.00383252,0.008083737,0.04089579,0.2976337,0.0006772717],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3345215,0.03007592,0.05011746,0.5486926,0.004521345,0.01002011,0.0004158591,0.0006032773,0.02103194],"genre_scores_gemma":[0.6765396,0.03961184,0.2018039,0.06377907,0.001917522,0.01085964,0.000258833,0.0002806727,0.0049489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902951,"threshold_uncertainty_score":0.5801821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713594616062391,"score_gpt":0.4396098361855967,"score_spread":0.2682503745793576,"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."}}