{"id":"W3136616391","doi":"10.2139/ssrn.3801258","title":"Respondent Biases in Household Surveys","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Respondent; Econometrics; Survey research; Statistics; Geography; Economics; Psychology; Environmental science; Political science; Mathematics; Socioeconomics; Law","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":[0.1995651,0.0004851778,0.0009464253,0.003356269,0.001777173,0.003084528,0.00167181,0.002693129,0.00524926],"category_scores_gemma":[0.4784186,0.0007533263,0.0009313946,0.004884474,0.002994864,0.003393561,0.003748619,0.00168956,0.0008737419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243259,"about_ca_system_score_gemma":0.00180843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00836325,"about_ca_topic_score_gemma":0.007412148,"domain_scores_codex":[0.652413,0.3138503,0.008806969,0.006446933,0.01523851,0.003244384],"domain_scores_gemma":[0.3385486,0.5669121,0.04736711,0.03169182,0.01433215,0.001148318],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008669736,0.000200797,0.7687809,0.00137534,0.001327738,0.0003399164,0.02855263,0.00192242,0.0003152049,0.05793019,0.01304123,0.1253466],"study_design_scores_gemma":[0.0004687147,0.0008646813,0.6827559,0.003553923,0.001894986,0.001374093,0.05016987,0.02116527,0.007312774,0.1500605,0.08018057,0.0001986454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8238391,0.008133422,0.08661262,0.01689215,0.001001493,0.001699135,0.002915332,0.0001609022,0.05874582],"genre_scores_gemma":[0.9843067,0.001171871,0.006636458,0.003302529,0.0003552688,0.000704942,0.0006097967,0.00003803361,0.002874429],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8004349,"threshold_uncertainty_score":0.9870787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905010065579958,"score_gpt":0.2970857523110988,"score_spread":0.2580356516552992,"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."}}