{"id":"W920904309","doi":"10.26686/lew.v0i0.1183","title":"New Zealand Income Survey and Other Sources of Income Data From Statistics New Zealand","year":2000,"lang":"en","type":"article","venue":"Labour Employment and Work in New Zealand","topic":"New Zealand Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Survey data collection; Total personal income; Household income; Sample (material); Survey sampling; Data source; Income in kind; General Social Survey; Demographic economics; Economics; Geography; Gross income; Statistics; Public economics; Computer science; Mathematics; Sociology; Demography; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002765783,0.0009894775,0.0008928469,0.009368034,0.0008163389,0.001344675,0.001211378,0.0004075296,0.04762997],"category_scores_gemma":[0.01473494,0.0007318656,0.0006685074,0.02470657,0.0002779445,0.001591735,0.001512684,0.001346549,0.01835602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003746948,"about_ca_system_score_gemma":0.008950199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5817652,"about_ca_topic_score_gemma":0.5922041,"domain_scores_codex":[0.9959512,0.0002705716,0.0008444361,0.0003026504,0.002290815,0.000340428],"domain_scores_gemma":[0.9924614,0.0004331151,0.001311538,0.0005444848,0.004876545,0.0003729532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001892669,0.0000966321,0.03916791,0.001275234,0.0001074825,0.0002494559,0.0007889806,0.0005654831,0.0004596105,0.004764996,0.8357185,0.1166165],"study_design_scores_gemma":[0.00006805907,0.0000354836,0.2945424,0.0002156213,0.00005535427,0.0001595131,0.0005091595,0.0006867592,0.0002694304,0.0009027176,0.7024838,0.00007174916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01326424,0.001465312,0.00333526,0.001938687,0.0003495527,0.001507322,0.8843002,0.0004868834,0.09335256],"genre_scores_gemma":[0.0293103,0.004742546,0.01508543,0.0004422368,0.0001818103,0.003126637,0.8790257,0.0003213101,0.06776406],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5817652,"threshold_uncertainty_score":0.8413958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134533100007899,"score_gpt":0.2511179386431278,"score_spread":0.2097726076430488,"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."}}