{"id":"W6901744714","doi":"10.6068/dp16171963fac48","title":"TREND: United States Census Bureau, Bureau of Labor Statistics. Consumer Expenditures: Retired | Category: Housing | Socioeconomic Indicator*: Housing, 2000 - 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-008-079","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Microdata (statistics); Earnings; American Community Survey; Household income; Quarter (Canadian coin); Housekeeping; Work (physics); Sample (material)","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":[0.001756678,0.002001992,0.001811957,0.006459305,0.0009724856,0.002603282,0.002943191,0.001140992,0.1160479],"category_scores_gemma":[0.01621551,0.001096593,0.001287353,0.02388058,0.000351936,0.003710452,0.001833697,0.003968223,0.1332152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003082194,"about_ca_system_score_gemma":0.007051458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09193544,"about_ca_topic_score_gemma":0.06821587,"domain_scores_codex":[0.9971396,0.0003835967,0.0004994511,0.0006500944,0.001017163,0.000310168],"domain_scores_gemma":[0.9855838,0.001352642,0.001585371,0.0009121737,0.009969018,0.0005970417],"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":[0.0000186522,0.00001310729,0.0008993827,0.0002987506,0.00001629797,0.000005702449,0.00001863719,0.0000647424,0.00001368676,0.0003659397,0.9955152,0.002769866],"study_design_scores_gemma":[0.00009763271,0.00001952418,0.01451926,0.0007209146,0.00005289138,0.00003012619,0.0002226825,0.0001560096,0.0000698376,0.00086267,0.9832184,0.00003009937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000110624,0.0001041739,0.0001032547,0.0001408144,0.00009020117,0.00006187316,0.997221,0.00008962007,0.002078404],"genre_scores_gemma":[0.0006575448,0.0003724639,0.000383722,0.0001896261,0.00005606689,0.0005281703,0.9947734,0.0001297382,0.002909181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1160479,"threshold_uncertainty_score":0.3882188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337741076715849,"score_gpt":0.3096462259510906,"score_spread":0.2762688151839321,"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."}}