{"id":"W2137387795","doi":"10.1177/0272989x06297395","title":"A Little Planning Goes a Long Way: Multilevel Allocation of HIV Prevention Resources","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute on Drug Abuse","keywords":"Resource allocation; Actuarial science; Business; Human immunodeficiency virus (HIV); Yield (engineering); Economics; Public economics; Computer science; Medicine; Computer network","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008942344,0.0006963349,0.001194871,0.0008883541,0.001292783,0.003207486,0.001752307,0.001513038,0.004460124],"category_scores_gemma":[0.01878288,0.0006903793,0.001437179,0.001615823,0.002518247,0.005144665,0.002876579,0.003055191,0.0002663034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006950253,"about_ca_system_score_gemma":0.006664529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546233,"about_ca_topic_score_gemma":0.0258497,"domain_scores_codex":[0.9870411,0.01051408,0.0001976196,0.0005760349,0.0007093822,0.0009616801],"domain_scores_gemma":[0.9903932,0.006491608,0.0009779267,0.0007345601,0.0006415963,0.0007611156],"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":[0.0008149178,0.0004645363,0.02435431,0.001454234,0.001512437,0.0002802409,0.001404305,0.5681532,0.0020934,0.1661188,0.0112869,0.2220627],"study_design_scores_gemma":[0.000351645,0.001662007,0.025806,0.001454693,0.0008625429,0.0002044008,0.003144444,0.3856849,0.003036808,0.5399883,0.03756199,0.0002421946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3232976,0.0150639,0.5318466,0.07567575,0.0005620872,0.001144871,0.0007424415,0.0005539568,0.05111274],"genre_scores_gemma":[0.914898,0.001800172,0.07914425,0.001889012,0.00009079304,0.0002700045,0.000101126,0.00006477445,0.001741942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01546233,"threshold_uncertainty_score":0.05042791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039823766169159,"score_gpt":0.425727243148203,"score_spread":0.3753290054865114,"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."}}