{"id":"W2982642576","doi":"10.1186/s12874-019-0842-5","title":"Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study","year":2019,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; St. Michael's Hospital; Aboriginal Affairs Northern Dev Canada; York University","funders":"Canadian Institutes of Health Research","keywords":"Statistics; Regression analysis; Regression; Respondent; Sampling (signal processing); Computer science; Linear regression; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04040043,0.0004958312,0.001537713,0.00115374,0.0004014223,0.00006404381,0.001637899,0.001199315,0.0006259203],"category_scores_gemma":[0.08420838,0.0003301889,0.0001741027,0.0009586886,0.0004353993,0.0005066029,0.001824075,0.002458507,0.0001103098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003461536,"about_ca_system_score_gemma":0.001574352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007606512,"about_ca_topic_score_gemma":0.0005792549,"domain_scores_codex":[0.9775372,0.012785,0.001623344,0.002289499,0.004373242,0.001391778],"domain_scores_gemma":[0.9007813,0.09241553,0.0004595467,0.003880177,0.001344973,0.00111852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1429555,0.00459465,0.05748746,0.001272396,0.0008960498,0.0005235285,0.02650911,0.0004535183,0.06206245,0.0005078025,0.01498726,0.6877503],"study_design_scores_gemma":[0.01442527,0.00473536,0.007091484,0.002762848,0.0002201636,0.00002617585,0.01234253,0.9358325,0.00578511,0.009036449,0.007168352,0.0005737313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7592945,0.0002129645,0.2324703,0.001889109,0.0003955447,0.004725359,0.0002606899,0.0002767524,0.0004747581],"genre_scores_gemma":[0.6260287,0.0001987404,0.3679796,0.0002585726,0.001317104,0.0002825512,0.002367982,0.000129413,0.001437429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.935379,"threshold_uncertainty_score":0.999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6636363935943407,"score_gpt":0.5996986958659981,"score_spread":0.06393769772834257,"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."}}