{"id":"W6945361153","doi":"10.25384/sage.22677944","title":"sj-docx-10-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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009140391,0.0009108498,0.0008819532,0.003878641,0.0009030733,0.002474409,0.003002236,0.001128166,0.8287267],"category_scores_gemma":[0.1079823,0.001118256,0.0009072241,0.005655217,0.0004719536,0.001998454,0.001655614,0.001585408,0.4442404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690901,"about_ca_system_score_gemma":0.003029462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528889,"about_ca_topic_score_gemma":0.02182855,"domain_scores_codex":[0.995492,0.001162937,0.0004783545,0.0004911426,0.002120527,0.0002549521],"domain_scores_gemma":[0.8880147,0.07654376,0.002815315,0.008343795,0.02228415,0.001998149],"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":[0.00006758663,0.00006170405,0.0007593977,0.0002365011,0.00001648234,0.000007470923,0.00004441982,0.0002816555,0.00007735496,0.0006983588,0.9888975,0.008851523],"study_design_scores_gemma":[0.001691196,0.0003909251,0.03434687,0.001190762,0.0001170235,0.0001600855,0.001039613,0.007180468,0.002634588,0.01050137,0.9405863,0.0001607562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001061162,0.00002432236,0.004792426,0.0005652927,0.000278178,0.0006060074,0.9681512,0.005461054,0.01906038],"genre_scores_gemma":[0.01829837,0.0001508274,0.02574779,0.001428173,0.0003775898,0.005099529,0.8567181,0.01347653,0.07870309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287267,"threshold_uncertainty_score":0.2443005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3883018648768885,"score_gpt":0.4943505907269796,"score_spread":0.1060487258500911,"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."}}