{"id":"W6976550695","doi":"10.6068/dp15b6428ec2068","title":"TREND: United States Census Bureau, Bureau of Labor Statistics. Consumer Expenditures: Operators, Fabricators and Laborers | Category: Alcoholic beverages | Socioeconomic Indicator*: Alcoholic beverages, 1984 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-008-078","year":2017,"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; Quarter (Canadian coin); Recall; Household income; Durable good; Housekeeping; Data collection","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":[0.001465187,0.001713325,0.001628751,0.005775628,0.000863018,0.002307911,0.00273504,0.00105221,0.08048441],"category_scores_gemma":[0.01287374,0.0009372856,0.001315113,0.01981533,0.0003006857,0.003098641,0.001637005,0.003423688,0.08742692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256427,"about_ca_system_score_gemma":0.005878675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09653272,"about_ca_topic_score_gemma":0.07590815,"domain_scores_codex":[0.9978116,0.00029397,0.0003622586,0.0005440304,0.0007432511,0.0002448081],"domain_scores_gemma":[0.9896404,0.001077935,0.00121735,0.0006976758,0.006934464,0.0004321845],"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":[0.00002002376,0.00001266283,0.001136829,0.0002737159,0.00002027456,0.000005829513,0.00001689292,0.00008018238,0.00001430283,0.0003190933,0.996051,0.002049204],"study_design_scores_gemma":[0.0001296489,0.00001970783,0.01683804,0.0006139574,0.00006284556,0.00003086223,0.0002393729,0.0002246848,0.00008251822,0.0008725238,0.9808539,0.00003189454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001178246,0.00008008497,0.00007051753,0.0001007478,0.00005579088,0.00003356459,0.9983785,0.00006492311,0.001097933],"genre_scores_gemma":[0.0006099765,0.0002116093,0.0002699612,0.0001228702,0.00003650066,0.0002883009,0.996732,0.00007416355,0.001654627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09653272,"threshold_uncertainty_score":0.2692472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978976004929161,"score_gpt":0.3198113115768681,"score_spread":0.2900215515275765,"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."}}