{"id":"W7132973832","doi":"","title":"Developing New Approaches for prevalence estimation to simultaneously reduce selection bias and misclassification bias: Application on mental health and social connectedness of sexual minority men","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Selection bias; Sampling bias; Mental health; Estimation; Sexual orientation; Selection (genetic algorithm); Social connectedness; Sample (material); Sampling (signal processing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06794807,0.00164065,0.001682288,0.004492255,0.0008801734,0.00222255,0.002860715,0.001831033,0.003307313],"category_scores_gemma":[0.1706967,0.001096752,0.004154255,0.00357849,0.001769548,0.002764129,0.004543027,0.003865289,0.0006138342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257717,"about_ca_system_score_gemma":0.003215738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00464549,"about_ca_topic_score_gemma":0.004038812,"domain_scores_codex":[0.9619178,0.03059251,0.001689981,0.002640797,0.00280223,0.0003567543],"domain_scores_gemma":[0.871769,0.1013839,0.007799174,0.007968057,0.01042064,0.0006591457],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003669867,0.0003822368,0.0712753,0.001677522,0.002901497,0.0003003021,0.002482446,0.1014906,0.003246442,0.04581888,0.005508913,0.7645488],"study_design_scores_gemma":[0.0003643965,0.0006250372,0.02350404,0.0005919032,0.0007251735,0.0005438503,0.0006552056,0.8854017,0.003451458,0.07162409,0.01229473,0.0002184537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006779876,0.0002633312,0.9915936,0.0003555787,0.00008099937,0.0003524877,0.00008990549,0.0002032372,0.0002809146],"genre_scores_gemma":[0.05606383,0.0004231076,0.9415631,0.0002224404,0.00011751,0.0009217506,0.0001501981,0.00007809412,0.0004599537],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9320519,"threshold_uncertainty_score":0.3593481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4345271607313992,"score_gpt":0.5037359719253031,"score_spread":0.06920881119390382,"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."}}