{"id":"W2030526781","doi":"10.1007/s10729-005-5213-6","title":"Improved Allocation of HIV Prevention Resources: Using Information About Prevention Program Production Functions","year":2005,"lang":"en","type":"article","venue":"Health Care Management Science","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute on Drug Abuse; National Institutes of Health","keywords":"Production (economics); Resource allocation; Health informatics; Computer science; Function (biology); Risk analysis (engineering); Health administration; Cost–benefit analysis; Control (management); Cost effectiveness; Operations research; Medicine; Public health; Economics; Mathematics; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270168,0.0001089829,0.0001566041,0.0007400445,0.0004641637,0.00007229899,0.0001465979,0.00003573032,0.00005755956],"category_scores_gemma":[0.0001403947,0.0001049208,0.0001035694,0.001310091,0.0001947804,0.001460811,0.00008347916,0.0001297739,0.00003628345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007780441,"about_ca_system_score_gemma":0.0003417009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007988163,"about_ca_topic_score_gemma":0.00007728246,"domain_scores_codex":[0.9978604,0.000071963,0.0006131672,0.0003042387,0.0007320431,0.0004181654],"domain_scores_gemma":[0.9985256,0.000004911798,0.000341272,0.0003884475,0.0005527206,0.000187059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009084492,0.0004288724,0.0003900337,0.00158897,0.00002718956,1.366182e-7,0.001987792,0.0003661114,0.001135675,0.0004665471,0.003724602,0.9897932],"study_design_scores_gemma":[0.007093425,0.02005784,0.07586408,0.007539442,0.0005153356,0.00007012803,0.0440226,0.4036241,0.009683912,0.0002152497,0.4303805,0.0009334009],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5697848,0.001269283,0.3598525,0.01175457,0.0006512901,0.01756657,0.00003494769,0.000674481,0.03841158],"genre_scores_gemma":[0.9607574,0.0001417,0.02911975,0.0001182811,0.0001406017,0.0003061418,0.0002204595,0.00001111936,0.009184523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9888598,"threshold_uncertainty_score":0.4278544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694878616904266,"score_gpt":0.3826862154611558,"score_spread":0.3557374292921131,"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."}}