{"id":"W2122357416","doi":"10.1257/aer.103.3.298","title":"Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps","year":2013,"lang":"en","type":"article","venue":"American Economic Review","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pairwise comparison; Matching (statistics); Fidelity; Human immunodeficiency virus (HIV); Population; Demographic economics; Economics; Psychology; Demography; Social psychology; Sociology; Medicine; Developmental psychology; Computer science; Virology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001263889,0.0002307956,0.001085251,0.0001895698,0.00004603807,0.00006888687,0.0002472849,0.0000532782,0.002059877],"category_scores_gemma":[0.000045057,0.0002501312,0.0001525885,0.0002439465,0.0001798758,0.0002739079,0.00007334416,0.0001859662,0.001976944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330759,"about_ca_system_score_gemma":0.00001019179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008667585,"about_ca_topic_score_gemma":0.0000556597,"domain_scores_codex":[0.9977899,0.00009637475,0.001138206,0.0005633067,0.00001478075,0.0003974504],"domain_scores_gemma":[0.9985856,0.00008947767,0.0006723723,0.0005076375,0.000009783565,0.0001351245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007826747,0.00006668634,0.6424029,0.0006437042,0.0001191143,0.000004134551,0.0001897729,0.000419073,7.186673e-7,0.100655,0.01537283,0.2401183],"study_design_scores_gemma":[0.0009953175,0.0002013708,0.8278853,0.0009487612,0.00004136924,0.0000650832,0.0002031256,0.009662103,0.000001339389,0.01219672,0.1463702,0.001429254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6459492,0.2595716,0.001758515,0.001773974,0.00070659,0.001046896,0.00007134837,0.000113986,0.08900788],"genre_scores_gemma":[0.9629807,0.0334856,0.0002109264,0.001594137,0.0001272806,0.0001005714,0.00002126302,0.0000306896,0.001448788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170316,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998159220021788,"score_gpt":0.2531464451447613,"score_spread":0.2231648529445434,"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."}}