{"id":"W4252536609","doi":"10.1503/cmaj.050150","title":"HIV, harm reduction and human rights","year":2005,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm reduction; Human immunodeficiency virus (HIV); Human rights; Harm; Reduction (mathematics); Computer science; Medicine; Data science; Virology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004514299,0.0005745383,0.0008097084,0.0005494265,0.005629291,0.006170401,0.0009671468,0.03681744,0.01260263],"category_scores_gemma":[0.01639898,0.0002311454,0.0004103931,0.0005790821,0.01189008,0.00465507,0.003054574,0.02659036,0.00301511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005121683,"about_ca_system_score_gemma":0.008639468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009615449,"about_ca_topic_score_gemma":0.01414074,"domain_scores_codex":[0.9945892,0.002518781,0.0002048677,0.0004087262,0.001424301,0.000854087],"domain_scores_gemma":[0.994697,0.003526715,0.0002814495,0.0002608021,0.0005193743,0.0007146575],"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":[0.00003146136,0.00005541227,0.0003768656,0.0001929037,0.00001302296,0.001199819,0.001029758,0.00008845545,0.0001355109,0.168825,0.7814168,0.04663509],"study_design_scores_gemma":[0.0000353475,0.00004771242,0.0005738563,0.0007142071,0.000006883944,0.001577282,0.0009626306,0.00009265378,0.00005761125,0.08103656,0.9148794,0.00001587068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005109357,0.02201701,0.0001878317,0.9153876,0.006594075,0.00001692567,0.00001855099,0.00001480219,0.05525222],"genre_scores_gemma":[0.02724061,0.01473426,0.000475416,0.8933959,0.01760059,0.00008070804,0.00002541018,0.00001441991,0.04643268],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03681744,"threshold_uncertainty_score":0.04215997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095765895620592,"score_gpt":0.2973746302736007,"score_spread":0.2764169713173948,"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."}}