{"id":"W6889046737","doi":"10.25384/sage.22677941","title":"sj-docx-1-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":[0.008976292,0.0009036754,0.0008623161,0.003878061,0.0009180729,0.002399497,0.002933445,0.001159602,0.8379145],"category_scores_gemma":[0.1131537,0.001102288,0.0008982106,0.005642267,0.0004744199,0.001998131,0.001670693,0.001572726,0.436774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746716,"about_ca_system_score_gemma":0.003109274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510239,"about_ca_topic_score_gemma":0.0221993,"domain_scores_codex":[0.9955907,0.001118856,0.0004839253,0.0004853407,0.00206069,0.0002605937],"domain_scores_gemma":[0.8830209,0.08050987,0.003059958,0.00816924,0.02316435,0.002075676],"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":[0.0000647648,0.00005957804,0.0007874302,0.0002456939,0.00001531299,0.000007434507,0.00004165871,0.0002762688,0.00006974013,0.0006708151,0.9895837,0.00817765],"study_design_scores_gemma":[0.001707785,0.0003832031,0.03346187,0.001283421,0.000115558,0.0001641709,0.001027924,0.007135806,0.002429618,0.01017499,0.941958,0.0001576574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009255879,0.00002226358,0.004091382,0.0005290036,0.0002478716,0.0005515722,0.9728915,0.004581756,0.01615909],"genre_scores_gemma":[0.01775147,0.0001464855,0.02470439,0.001467583,0.0003757146,0.005241963,0.8662262,0.01216193,0.07192428],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8379145,"threshold_uncertainty_score":0.2311953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3914696077503589,"score_gpt":0.4955747995385336,"score_spread":0.1041051917881747,"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."}}