{"id":"W4243610826","doi":"10.1163/2210-7975_hrd-5530-2016002","title":"Emerging HIV Prevention Technologies and Canada’s African, Caribbean and Black Communities fact sheet","year":2018,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fact sheet; Human immunodeficiency virus (HIV); Caribbean region; Geography; Black african; History; Genealogy; Ethnology; Political science; World Wide Web; Medicine; Virology; Computer science; Latin Americans","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":[0.002261969,0.001555662,0.001481359,0.008869402,0.002254228,0.005146518,0.003324902,0.002274169,0.03929717],"category_scores_gemma":[0.01791121,0.0009956511,0.001425616,0.02007956,0.0008433589,0.001396271,0.002378075,0.002881984,0.02050765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0145763,"about_ca_system_score_gemma":0.04209669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9127829,"about_ca_topic_score_gemma":0.9382093,"domain_scores_codex":[0.9980168,0.0002159755,0.0001947774,0.0001866791,0.000904798,0.0004810151],"domain_scores_gemma":[0.986015,0.002455619,0.001216095,0.001398447,0.007091332,0.001823537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003047788,0.000009211525,0.001379067,0.0002058188,0.00001973328,0.00001001566,0.00002097906,0.0001621788,0.000008246761,0.0004983874,0.9962244,0.001431498],"study_design_scores_gemma":[0.0001686613,0.000006077568,0.01649827,0.0009365767,0.00005011972,0.00002557454,0.0002002502,0.0004060091,0.0001064129,0.0007911607,0.9807765,0.00003438019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001099264,0.0000956203,0.00001341951,0.0002198821,0.00002432816,0.000008494177,0.9988284,0.0000387954,0.0006611472],"genre_scores_gemma":[0.001030631,0.0002793843,0.0001473971,0.0001605029,0.00001950211,0.00009005345,0.9962384,0.0000347613,0.001999392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08721709,"threshold_uncertainty_score":0.1754614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630303996249732,"score_gpt":0.3433665819362185,"score_spread":0.3170635419737212,"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."}}