{"id":"W3171430140","doi":"10.1111/1467-9566.13290","title":"When biographical disruption meets HIV exceptionalism: Reshaping illness identities in the shadow of criminalization","year":2021,"lang":"en","type":"article","venue":"Sociology of Health & Illness","topic":"Sex work and related issues","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's and Gender Studies et Recherches Féministes; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Criminalization; Sociology; Medicalization; Criminology; Exceptionalism; Shadow (psychology); Law; Psychology; Political science; Psychiatry; Psychoanalysis; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006089583,0.0005718864,0.000702649,0.002416999,0.02988469,0.01313117,0.001929197,0.002750123,0.001956108],"category_scores_gemma":[0.01629873,0.0005299445,0.0002723031,0.001880251,0.05952654,0.0100448,0.01722821,0.007662328,0.000259671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01281694,"about_ca_system_score_gemma":0.01156797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08689255,"about_ca_topic_score_gemma":0.1198577,"domain_scores_codex":[0.990812,0.00609035,0.0001961228,0.0003417792,0.001004906,0.001554812],"domain_scores_gemma":[0.9903928,0.00434938,0.001748324,0.000689983,0.0009147845,0.001904815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009826779,0.00000399507,0.0009183313,0.000009984918,0.000001164229,0.0002019951,0.9928162,0.000009219158,0.0001199896,0.004622789,0.0002991059,0.0009873853],"study_design_scores_gemma":[0.000001078318,0.000005946659,0.000749849,0.0000345273,0.000001990916,0.0001702656,0.9879742,0.00002355305,0.00007240176,0.001208091,0.009750578,0.000007506306],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413338,0.001271899,0.001856665,0.01837762,0.0003728138,0.00004898818,0.00004634474,0.00004068372,0.03665119],"genre_scores_gemma":[0.9970086,0.0002591126,0.0001593923,0.0005731782,0.00003348333,0.00001036592,0.00001650977,0.00001788682,0.001921482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08689255,"threshold_uncertainty_score":0.1727735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481486587299083,"score_gpt":0.3674436118915881,"score_spread":0.3226287460185973,"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."}}