{"id":"W6976329845","doi":"10.6068/dp1531497443765","title":"RANKING: United States Census Bureau. 2010 US Census of Population and Housing: Summary File 1: P30. Household Type for the Population in Households | Description*: Total Population, In Family Households, In Husband-Wife Family, In Other Family Households, In Male Householder, No Wife Present Family, In Female Householder, No Husband Present Family, In Nonfamily Households, In Households with a Male Householder, In 1-Person Household, In 2-Or-More-Person Household, In Households with a Female Householder, In 1-Person Household, In 2-Or-More-Person Household, 2010. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-045-094","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Unit (ring theory); Wife; Standard of living; Quarter (Canadian coin); Poverty","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01308503,0.01070315,0.01452082,0.02040942,0.0006165162,0.002222036,0.0106477,0.008419435,0.0002028592],"category_scores_gemma":[0.001053982,0.01006316,0.0002709762,0.01642837,0.003118686,0.00857787,0.003120394,0.01313239,0.00009800445],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008835274,"about_ca_system_score_gemma":0.002413248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8763406,"about_ca_topic_score_gemma":0.7865542,"domain_scores_codex":[0.9416807,0.008510737,0.01470196,0.01490768,0.007727771,0.0124712],"domain_scores_gemma":[0.9711148,0.006274979,0.006797785,0.01341618,0.0002648347,0.002131469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02021459,0.01025532,0.4424019,0.003260821,0.0003511505,0.01179629,0.001783851,0.1442357,0.0008374858,0.00001447943,0.3644361,0.0004123803],"study_design_scores_gemma":[0.07884326,0.002271391,0.76006,0.01334168,0.0005702015,0.0007957385,0.01096369,0.02080348,0.00001420926,0.000009746594,0.1005732,0.01175342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5125709,0.01054199,0.00001149504,0.0001400259,0.001322434,0.01717563,0.4569288,0.001145847,0.000162948],"genre_scores_gemma":[0.4729763,0.01302163,0.0008865983,0.0009659969,0.0006478788,0.003364805,0.5016237,0.006023926,0.0004890665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3176581,"threshold_uncertainty_score":0.9995943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09035074370416009,"score_gpt":0.2859282689886884,"score_spread":0.1955775252845284,"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."}}