{"id":"W4319836126","doi":"10.1002/9781119672333.ch18","title":"Using Paradata in Electronic Business Survey Questionnaires *","year":2023,"lang":"en","type":"other","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"Univerza v Ljubljani","keywords":"Quality (philosophy); Computer science; Login; Data quality; Process (computing); Audit; Data science; Marketing; Service (business); Accounting; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0718554,0.001304707,0.0009894996,0.006410181,0.001483168,0.00547156,0.002474942,0.001433881,0.03552681],"category_scores_gemma":[0.1619759,0.001892274,0.0009927503,0.008934484,0.001662304,0.009629299,0.007792819,0.002389704,0.02142902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886559,"about_ca_system_score_gemma":0.002556973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493442,"about_ca_topic_score_gemma":0.002017825,"domain_scores_codex":[0.9134445,0.0686129,0.006303051,0.003326805,0.007480459,0.0008323598],"domain_scores_gemma":[0.7510979,0.190534,0.008904488,0.03242227,0.01562807,0.001413351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004199073,0.0003615811,0.004718659,0.003169596,0.0000518839,0.0002451583,0.01472591,0.001785184,0.002568045,0.0742391,0.08830591,0.8094091],"study_design_scores_gemma":[0.00008981683,0.0003622964,0.004273215,0.002266893,0.00001947901,0.0004118399,0.003593795,0.002415028,0.002761965,0.02065013,0.963042,0.0001135418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01220764,0.001818074,0.8534144,0.004221245,0.001379893,0.007623537,0.01130468,0.01948672,0.08854374],"genre_scores_gemma":[0.05600854,0.002615016,0.8746867,0.002224587,0.0005194353,0.01990883,0.007913076,0.004617898,0.03150599],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0718554,"threshold_uncertainty_score":0.3800122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4629671701017276,"score_gpt":0.5145651311948565,"score_spread":0.05159796109312892,"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."}}