{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008162811,0.0001072673,0.000163547,0.0001380615,0.0003801845,0.0001257139,0.0002831116,0.0001109888,0.0000512652],"category_scores_gemma":[0.0006376464,0.0001090834,0.00009437858,0.0006693651,0.00007876273,0.0001836908,0.00003457626,0.001258181,0.00001591207],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444166,"about_ca_system_score_gemma":0.009025387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745256,"about_ca_topic_score_gemma":0.1843196,"domain_scores_codex":[0.9954213,0.001304654,0.0002590529,0.0001985478,0.0004578566,0.00235862],"domain_scores_gemma":[0.9993296,0.0001871808,0.00008454626,0.0001469735,0.0001233485,0.0001283511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003835075,0.0003959055,0.5530679,0.000005547503,0.0001265053,0.0002475988,0.01023921,0.0009641526,0.0007020321,0.4197473,0.0004276639,0.0140378],"study_design_scores_gemma":[0.001720968,0.0002041788,0.5064256,0.00006793206,0.00003832491,0.000242004,0.1741189,0.0001087701,0.0000646313,0.3030113,0.01338224,0.0006152383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883067,0.003953712,0.001346787,0.001033303,0.0005037421,0.000061427,0.00000561361,0.00003305422,0.004755632],"genre_scores_gemma":[0.9738693,0.01813306,0.00004290556,0.0001666095,0.0003190351,0.000002065475,0.000004323249,0.00001648728,0.007446185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1825744,"threshold_uncertainty_score":0.9965925,"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."}}