{"id":"W3211447964","doi":"10.17157/mat.8.2.5134","title":"Moments of Uncertainty: Exploring How an App-Based Oral HIV Self-Testing Strategy Fits in Communities ‘Living Under’ HIV Risk","year":2021,"lang":"en","type":"article","venue":"Medicine Anthropology Theory","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Institutes of Health Research; Grand Challenges Canada; South African Medical Research Council; McGill University Health Centre","keywords":"Context (archaeology); Test (biology); Meaning (existential); Human immunodeficiency virus (HIV); Process (computing); Psychology; Interpretation (philosophy); Empirical research; Computer science; Hiv test; Order (exchange); Risk analysis (engineering); Medicine; Business; Environmental health; Family medicine; Geography; Mathematics; Health services; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01635726,0.0008520619,0.0006092454,0.00215335,0.01274386,0.01186041,0.003180306,0.004325503,0.003576076],"category_scores_gemma":[0.04158557,0.0009778854,0.0006969207,0.001056986,0.01921821,0.01304232,0.01523696,0.004784363,0.0004095079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005143783,"about_ca_system_score_gemma":0.00490986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006759489,"about_ca_topic_score_gemma":0.009865001,"domain_scores_codex":[0.972344,0.02277985,0.0004303721,0.001012851,0.001655625,0.001777299],"domain_scores_gemma":[0.9605059,0.0331956,0.002438923,0.0009828068,0.001451623,0.001425156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003643903,0.00006674576,0.003398391,0.0001524988,0.000009521947,0.0007474493,0.9821927,0.00009351683,0.0002881183,0.005374752,0.0003756979,0.007264327],"study_design_scores_gemma":[0.000006777923,0.00008907948,0.001841334,0.0003660407,0.00001750184,0.000423751,0.9808271,0.0003954789,0.0002679689,0.005928748,0.009804065,0.00003224752],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432628,0.0009820571,0.01448276,0.01007116,0.0001110272,0.0002953925,0.00007562044,0.0000755771,0.03064373],"genre_scores_gemma":[0.9929646,0.0004043164,0.004315988,0.0007465245,0.00001940894,0.0001930456,0.00002550927,0.00003111299,0.001299449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01635726,"threshold_uncertainty_score":0.08650649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194662426854305,"score_gpt":0.3793286629558301,"score_spread":0.2598624202703996,"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."}}