{"id":"W2404057770","doi":"10.1057/9781137025135_8","title":"Intersectional Analysis at the Medico-Legal Borderland: HIV Testing Innovations and the Criminalization of HIV Non-Disclosure","year":2013,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminalization; Human immunodeficiency virus (HIV); Transmission (telecommunications); Public health; HIV diagnosis; Criminology; Medicine; Political science; Virology; Psychology; Viral load; Antiretroviral therapy; Telecommunications; Pathology","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":[0.005155579,0.0002054734,0.0004862432,0.002608662,0.004829437,0.008955382,0.00101335,0.001154787,0.01536937],"category_scores_gemma":[0.0148757,0.000180373,0.0006430084,0.003399235,0.00366866,0.005727886,0.006624192,0.003628404,0.0005830953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00554787,"about_ca_system_score_gemma":0.005133634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03100667,"about_ca_topic_score_gemma":0.03582675,"domain_scores_codex":[0.9937403,0.002967312,0.0002048516,0.0005679204,0.001294363,0.001225293],"domain_scores_gemma":[0.990074,0.003530076,0.002624286,0.0004838434,0.002127726,0.001159993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002807976,0.0002719656,0.6205466,0.0002996853,0.000268639,0.001330116,0.05063804,0.0004507918,0.0002171103,0.2372408,0.0196427,0.06881272],"study_design_scores_gemma":[0.00002498567,0.0001638608,0.5379574,0.001483945,0.0002813589,0.0005717633,0.3218624,0.002414757,0.0003996297,0.05488906,0.07988862,0.00006222347],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814475,0.008685293,0.004007092,0.06378849,0.0004815782,0.0000984394,0.0009029143,0.00002365149,0.1075376],"genre_scores_gemma":[0.9934,0.001236271,0.0005565221,0.001549662,0.000102908,0.00002948129,0.0002054989,0.00001399112,0.002905692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03100667,"threshold_uncertainty_score":0.06165236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357101301303147,"score_gpt":0.2813798327644789,"score_spread":0.2578088197514474,"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."}}