{"id":"W1809287194","doi":"","title":"Opt in or opt out: what is optimal for prenatal screening for HIV infection?","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Human immunodeficiency virus (HIV); Opt-out; Antiretroviral therapy; Medicine; Transmission (telecommunications); Pregnancy; Opt-in email; Pediatrics; Family medicine; Obstetrics; Viral load; Computer science; World Wide Web; Biology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004849704,0.000584463,0.001988158,0.0008190387,0.001373225,0.002312637,0.001889684,0.00890281,0.01701264],"category_scores_gemma":[0.03498769,0.0002614594,0.001162684,0.0007181831,0.00233184,0.004108569,0.0006141116,0.004864148,0.003000767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330311,"about_ca_system_score_gemma":0.006790537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006322493,"about_ca_topic_score_gemma":0.01621502,"domain_scores_codex":[0.9972187,0.00137847,0.0003000892,0.0002852153,0.0004252188,0.0003922698],"domain_scores_gemma":[0.9798335,0.01435333,0.001633905,0.0001568946,0.002423972,0.001598352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002540426,0.001053314,0.02643391,0.007298718,0.0006864748,0.002229241,0.0006300355,0.0004527579,0.0005064402,0.009693999,0.5125508,0.4359239],"study_design_scores_gemma":[0.005329958,0.002090036,0.08057671,0.06896571,0.006702834,0.00901457,0.02585319,0.004856343,0.001583965,0.2492915,0.5451289,0.0006062639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008705819,0.07717749,0.001140296,0.8919023,0.00832682,0.00007054127,0.0008482917,0.00002785807,0.01180059],"genre_scores_gemma":[0.2792706,0.1689501,0.008957941,0.4571783,0.07783686,0.0007092225,0.001509489,0.00006835558,0.0055192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01701264,"threshold_uncertainty_score":0.0569129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06791965289949455,"score_gpt":0.3519400905532005,"score_spread":0.284020437653706,"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."}}