{"id":"W2529208644","doi":"10.2196/publichealth.6689","title":"Metadata Correction of: 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":"erratum","venue":"JMIR Public Health and Surveillance","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Human immunodeficiency virus (HIV); Intervention (counseling); Metadata; Verifiable secret sharing; Computer science; Psychology; Medicine; Internet privacy; World Wide Web; Family medicine; Psychiatry; Health care","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":[0.01833179,0.001764114,0.002103938,0.00611939,0.006176331,0.00735925,0.005560617,0.01317817,0.06186537],"category_scores_gemma":[0.2567734,0.001703499,0.00245629,0.004632855,0.005078739,0.004619261,0.005203927,0.01797945,0.03333896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007637152,"about_ca_system_score_gemma":0.0197698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03155757,"about_ca_topic_score_gemma":0.04289571,"domain_scores_codex":[0.9733167,0.005723429,0.006515857,0.001295869,0.01186551,0.001282665],"domain_scores_gemma":[0.8176095,0.07515497,0.009111376,0.009944442,0.08400111,0.004178549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002336242,0.000008781912,0.0001128978,0.0001891632,0.00001115794,0.0001884429,0.0001103871,0.00003563084,0.00003314768,0.001247224,0.9915872,0.006452675],"study_design_scores_gemma":[0.00003161112,0.00002333845,0.0003894534,0.001079979,0.00003521464,0.0004146775,0.0002785603,0.0002444556,0.0002816273,0.001478563,0.9956938,0.00004867222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001925966,0.001115806,0.001928467,0.2012283,0.7877375,0.00007810974,0.002310437,0.000813751,0.004595013],"genre_scores_gemma":[0.0154858,0.01449845,0.01660364,0.3757641,0.4179282,0.0005843058,0.006394007,0.004042536,0.148699],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06186537,"threshold_uncertainty_score":0.2069603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596976486475861,"score_gpt":0.4370182624180715,"score_spread":0.2773206137704853,"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."}}