{"id":"W2947067342","doi":"10.1371/journal.pone.0217559","title":"Developing a dynamic HIV transmission model for 6 U.S. cities: An evidence synthesis","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; AIDS Vancouver","funders":"Mailman School of Public Health, Columbia University; Leonard M. Miller School of Medicine, University of Miami; Johns Hopkins Bloomberg School of Public Health; University of California, San Diego; Center for AIDS Research, University of Washington; Leonard M. Miller School of Medicine; Weill Cornell Medical College; University of California, Los Angeles; Faculty of Medicine, University of British Columbia; Johns Hopkins University; University of Washington; Emory University; Simon Fraser University; National Institute on Drug Abuse; University of Miami","keywords":"Context (archaeology); Computer science; Transmission (telecommunications); Medicine; Data mining; Family medicine; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.07849265,0.002066136,0.003127268,0.008074887,0.0009447716,0.004271281,0.003861819,0.003126362,0.005831365],"category_scores_gemma":[0.1518523,0.001651385,0.01009651,0.00676444,0.001092216,0.003513105,0.004347549,0.003352816,0.0005616749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01210878,"about_ca_system_score_gemma":0.02062824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02737544,"about_ca_topic_score_gemma":0.02741001,"domain_scores_codex":[0.948917,0.04074642,0.004621653,0.002329798,0.002712223,0.0006729608],"domain_scores_gemma":[0.8478177,0.1320786,0.008189737,0.003389907,0.007782026,0.0007419878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001597481,0.0006492803,0.02719191,0.06540916,0.02072008,0.0007033301,0.002098034,0.608809,0.0005003519,0.0660009,0.009613268,0.1967072],"study_design_scores_gemma":[0.005959851,0.004740742,0.02413629,0.09169169,0.06336927,0.0004717142,0.005946317,0.5427573,0.002812562,0.1771666,0.08020603,0.0007416465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1735137,0.07958362,0.6224328,0.02285916,0.00101934,0.04271856,0.03821915,0.0008881528,0.01876549],"genre_scores_gemma":[0.5765585,0.02684667,0.3619992,0.00374116,0.0001481309,0.02301841,0.006468147,0.00009271693,0.001127086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07849265,"threshold_uncertainty_score":0.4151137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115759630704137,"score_gpt":0.3499458809483405,"score_spread":0.2341862502442035,"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."}}