{"id":"W7161936421","doi":"10.82308/42734","title":"Using social networks to better conceptualize risk for bloodborne viruses among injection drug users","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm reduction; Context (archaeology); Syringe; Needle sharing; Population; Drug; Injection drug use; Concordance; Heroin","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":[0.001522261,0.000423202,0.0001842661,0.002883956,0.001175302,0.002314698,0.0005577584,0.0006478574,0.00303856],"category_scores_gemma":[0.005162993,0.0001479616,0.0003978111,0.0012267,0.001528156,0.003295795,0.002151151,0.000602039,0.0001287553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370625,"about_ca_system_score_gemma":0.001165724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432411,"about_ca_topic_score_gemma":0.01216759,"domain_scores_codex":[0.998839,0.0007732533,0.00005424102,0.0000816904,0.0001406395,0.0001111468],"domain_scores_gemma":[0.9968622,0.001566295,0.0009068913,0.00008100219,0.0002186248,0.00036491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085425,0.000193751,0.8627185,0.0002405232,0.0001367811,0.0005109973,0.05430332,0.002092368,0.0006096061,0.04434859,0.001148067,0.03358901],"study_design_scores_gemma":[0.00004251726,0.0003816098,0.786469,0.0009401456,0.0002459168,0.001366634,0.1269129,0.02218802,0.0002853468,0.03926611,0.02180488,0.00009685207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772724,0.0009457393,0.003224345,0.002097742,0.00003129877,0.0001243071,0.0002062259,0.00001263295,0.01608526],"genre_scores_gemma":[0.9984214,0.0002518786,0.0008640711,0.0000445539,0.000009650943,0.00004652371,0.00005818876,0.000001196778,0.0003024198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01432411,"threshold_uncertainty_score":0.02848142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06731040864691863,"score_gpt":0.4059261654364014,"score_spread":0.3386157567894827,"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."}}