{"id":"W6907841539","doi":"10.25384/sage.21778129.v1","title":"sj-docx-1-mpp-10.1177_23814683221143782 – Supplemental material for Cost Utility of Supporting Family-Based Care to Prevent HIV and Deaths among Orphaned and Separated Children in East Africa: A Markov Model–Based Simulation","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Human immunodeficiency virus (HIV); Markov model; Cost–utility analysis; Markov chain; Health care; Risk assessment","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001726253,0.0007168412,0.0006810108,0.001653985,0.0005512591,0.00251007,0.001978657,0.001849472,0.8587701],"category_scores_gemma":[0.02136622,0.000809943,0.0008442932,0.003181718,0.0002559069,0.002095534,0.001131781,0.00143152,0.4160568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031239,"about_ca_system_score_gemma":0.002257034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208247,"about_ca_topic_score_gemma":0.02514017,"domain_scores_codex":[0.9993055,0.0001492034,0.00005240069,0.00008424388,0.0003131521,0.00009550426],"domain_scores_gemma":[0.9853237,0.01031887,0.0004745307,0.0005752786,0.002802,0.0005056771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003486771,0.00004764274,0.0004569908,0.0001844456,0.000008503834,0.000020195,0.00001628999,0.002528844,0.00003542467,0.002559185,0.9886967,0.005410967],"study_design_scores_gemma":[0.0008830993,0.0001031732,0.005855337,0.0007812084,0.00004263291,0.0001257863,0.0003035848,0.02266568,0.0007357596,0.02255738,0.9458553,0.00009116382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008057739,0.00007022229,0.003217817,0.001282988,0.0002684801,0.0001909322,0.9243814,0.00294852,0.06683387],"genre_scores_gemma":[0.03906451,0.0006210989,0.0195841,0.001723495,0.0004530303,0.00204879,0.7676182,0.0135195,0.1553674],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8587701,"threshold_uncertainty_score":0.2014474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914566539181821,"score_gpt":0.2741835049142737,"score_spread":0.2350378395224555,"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."}}