{"id":"W4214583625","doi":"10.21203/rs.3.rs-21898/v1","title":"Prevalence and predictors of HIV-syphilis co-infection among HIV-infected pregnant women in China, 2011-2018","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Syphilis Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Human immunodeficiency virus (HIV); Syphilis; China; Medicine; Virology; Obstetrics; Demography; Immunology; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01043526,0.0009766264,0.002065669,0.003695214,0.0004800687,0.0002960682,0.0008730489,0.001174913,0.001908557],"category_scores_gemma":[0.005602911,0.0008513014,0.0004660444,0.002102129,0.002301164,0.0004024872,0.002799395,0.00628494,0.0003390845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003640023,"about_ca_system_score_gemma":0.002577815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007145596,"about_ca_topic_score_gemma":0.0004455647,"domain_scores_codex":[0.9820839,0.004086816,0.001588574,0.002754297,0.006160521,0.00332592],"domain_scores_gemma":[0.9903637,0.00262364,0.0003786934,0.002341088,0.002124223,0.002168648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001241656,0.003369351,0.9511483,0.0158392,0.0005837854,0.0005640284,0.006747535,0.0000634555,0.000484226,0.00008936875,0.01759315,0.002275991],"study_design_scores_gemma":[0.003847282,0.005560934,0.9714503,0.01168849,0.00009952995,0.00002436524,0.0005770786,0.001199098,0.002470476,0.001057774,0.001452832,0.0005718296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778321,0.004774758,0.00002277341,0.002846371,0.0002434786,0.01027861,0.001129263,0.0002387278,0.002633905],"genre_scores_gemma":[0.9686846,0.02353846,0.00006412328,0.00001447809,0.0006469576,0.004689957,0.0007994997,0.0002024744,0.001359464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02030206,"threshold_uncertainty_score":0.9994659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569378036886794,"score_gpt":0.388023803281525,"score_spread":0.322330022912657,"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."}}