{"id":"W2038226644","doi":"10.1097/01.aids.0000300530.67107.45","title":"Investigating the empirical evidence for understanding vulnerability and the associations between poverty, HIV infection and AIDS impact","year":2007,"lang":"en","type":"article","venue":"AIDS","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Human immunodeficiency virus (HIV); Poverty; Medicine; Environmental health; Immunology; Virology; Economic growth; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01229684,0.0005861634,0.0006818979,0.005959492,0.00194622,0.00461243,0.001334992,0.001785035,0.01222674],"category_scores_gemma":[0.08433259,0.0004267781,0.0006908469,0.008246453,0.007542264,0.009896475,0.004672218,0.002811519,0.0006308315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002014275,"about_ca_system_score_gemma":0.00478685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007501125,"about_ca_topic_score_gemma":0.008898036,"domain_scores_codex":[0.9909441,0.00637072,0.0004133697,0.0006353091,0.001221963,0.0004145463],"domain_scores_gemma":[0.8233719,0.1577659,0.01174717,0.002020618,0.003611292,0.001483103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001003546,0.0002688145,0.4631788,0.004750163,0.001261373,0.0006593752,0.03674267,0.001203343,0.0001811804,0.331629,0.03054591,0.1294789],"study_design_scores_gemma":[0.00003450649,0.0002524582,0.4536443,0.01227426,0.0005668052,0.000624779,0.06681456,0.001811058,0.0002296036,0.3779901,0.0856528,0.0001047388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4448146,0.204019,0.007413533,0.2152991,0.001944138,0.0002417868,0.003107652,0.00005145835,0.1231088],"genre_scores_gemma":[0.875358,0.1048342,0.004799448,0.00998134,0.001199934,0.000302685,0.0006809574,0.00001695234,0.002826517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229684,"threshold_uncertainty_score":0.06503266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3480744657319638,"score_gpt":0.3899688368638277,"score_spread":0.04189437113186395,"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."}}