{"id":"W6907882004","doi":"10.25384/sage.22677965","title":"sj-docx-8-smx-10.1177_00811750231163832 – Supplemental material for Evaluation of Respondent-Driven Sampling Prevalence Estimators Using Real-World Reported Network Degree","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University Health Network","funders":"","keywords":"Estimator; Degree (music); Sampling (signal processing); Estimation; Sampling design; Sample (material)","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008838073,0.0009046661,0.000865331,0.003781376,0.0009289569,0.002467673,0.002956594,0.001157976,0.8362581],"category_scores_gemma":[0.1090609,0.001123423,0.0009131121,0.005431042,0.0004737068,0.001984369,0.001677112,0.00156149,0.4470569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695738,"about_ca_system_score_gemma":0.002951482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01547495,"about_ca_topic_score_gemma":0.02198603,"domain_scores_codex":[0.9956072,0.001108113,0.0004736574,0.0004827735,0.002069011,0.0002591959],"domain_scores_gemma":[0.8896897,0.07510007,0.002872681,0.00807363,0.02221513,0.002048639],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006806418,0.00006206741,0.0007882611,0.0002349176,0.00001584991,0.000007492441,0.00004447847,0.0002657833,0.00007407365,0.000671369,0.9891538,0.00861383],"study_design_scores_gemma":[0.00178099,0.0003926452,0.03482835,0.001254466,0.0001171027,0.0001681739,0.001087384,0.006953238,0.002554683,0.01013605,0.9405655,0.0001614263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001048837,0.00002434657,0.004599822,0.0005617443,0.0002808474,0.0006227296,0.9684221,0.005330973,0.01910854],"genre_scores_gemma":[0.01946073,0.000149946,0.02565348,0.001529202,0.0004069415,0.005449298,0.8515589,0.0134381,0.08235338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9911619,"threshold_uncertainty_score":0.2335579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3927018386615964,"score_gpt":0.4959876830643737,"score_spread":0.1032858444027773,"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."}}