{"id":"W2353312604","doi":"10.1080/08898480.2017.1299988","title":"Dealing with nonresponse: Strategies to increase participation and methods for postsurvey adjustments","year":2017,"lang":"en","type":"article","venue":"Mathematical Population Studies","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Non-response bias; Psychology; Computer science; Econometrics; Economics","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3498596,0.003121222,0.002668314,0.006792415,0.003571566,0.003397799,0.006147917,0.00355323,0.01672398],"category_scores_gemma":[0.6807071,0.002666184,0.003813644,0.007429371,0.002941284,0.005318614,0.007550388,0.004970382,0.00313446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156557,"about_ca_system_score_gemma":0.004225863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331468,"about_ca_topic_score_gemma":0.002504808,"domain_scores_codex":[0.4902284,0.4506771,0.02962915,0.01139712,0.01586467,0.002203587],"domain_scores_gemma":[0.3646494,0.4447628,0.02959457,0.1170222,0.04208167,0.00188933],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002304679,0.002411843,0.03253711,0.005419159,0.00139306,0.000429443,0.01738751,0.005543436,0.007612989,0.06013812,0.02655116,0.8382715],"study_design_scores_gemma":[0.002889772,0.007319228,0.1407278,0.008093901,0.003589925,0.001846994,0.01206607,0.1913006,0.07496645,0.2682781,0.2878203,0.001100957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01105932,0.0002352308,0.9678652,0.001158217,0.0004310396,0.01448018,0.0003921267,0.001164099,0.003214474],"genre_scores_gemma":[0.06657033,0.0001594665,0.8866548,0.001125267,0.0002106758,0.04081029,0.0003197535,0.000643898,0.003505628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6501404,"threshold_uncertainty_score":0.8017389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4604966853418181,"score_gpt":0.6267359837230523,"score_spread":0.1662392983812341,"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."}}