{"id":"W2020548009","doi":"10.1136/sti.2007.027516","title":"Evaluating large-scale HIV prevention interventions: study design for an integrated mathematical modelling approach","year":2007,"lang":"en","type":"article","venue":"Sexually Transmitted Infections","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Université de Montréal; University of Manitoba","funders":"Indian Council of Medical Research; Bill and Melinda Gates Foundation","keywords":"Psychological intervention; Scale (ratio); Context (archaeology); Medicine; Population; Risk analysis (engineering); Environmental health; Computer science; Nursing; Geography","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01019794,0.0003570951,0.0005214436,0.0004082842,0.002453511,0.00002795375,0.0002131303,0.0003174444,0.0001991782],"category_scores_gemma":[0.000288011,0.0003044204,0.0002168288,0.0007830042,0.00007465662,0.0004355424,0.00003819841,0.001148423,0.00007768675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571346,"about_ca_system_score_gemma":0.0003938691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004983006,"about_ca_topic_score_gemma":0.0002341641,"domain_scores_codex":[0.9942528,0.001845497,0.00161828,0.0008853499,0.0004091538,0.0009889267],"domain_scores_gemma":[0.9972757,0.0007509883,0.0003620612,0.0005646608,0.0007563676,0.0002902999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004954686,0.2255817,0.05851546,0.01532528,0.002222997,0.00000905684,0.3424336,0.2678962,0.003507161,0.02233028,0.003106622,0.05411699],"study_design_scores_gemma":[0.01027083,0.0108635,0.006807421,0.001233814,0.0008196832,0.0000195084,0.2120787,0.7380099,0.00006836102,0.01711436,0.001623694,0.001090234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.211739,0.00005210103,0.7786863,0.00008691433,0.0004407212,0.007720136,0.00003534415,0.0004577789,0.0007816582],"genre_scores_gemma":[0.7664803,0.000009512681,0.2247533,0.0001719697,0.0007465912,0.002139213,0.0004216978,0.0001379244,0.005139484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5547413,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.326391882932027,"score_gpt":0.5072581131521816,"score_spread":0.1808662302201546,"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."}}