{"id":"W7131290675","doi":"10.25549/wpacards-ouc11580182","title":"WPA household census for 150 SOUTH GAGE AVE, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Value (mathematics)","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":[0.0006702604,0.001205693,0.001072067,0.003064069,0.0005692223,0.001889349,0.001399198,0.0005364492,0.07768632],"category_scores_gemma":[0.00421699,0.0006079238,0.0005386965,0.00883966,0.0001868486,0.001263788,0.0009276541,0.001488555,0.09016817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827431,"about_ca_system_score_gemma":0.003410263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1273569,"about_ca_topic_score_gemma":0.1317019,"domain_scores_codex":[0.9992274,0.0001004815,0.0001084492,0.0002225797,0.0002461919,0.00009491436],"domain_scores_gemma":[0.9976081,0.00028288,0.0002390076,0.0002465183,0.001465773,0.0001577862],"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":[0.000006922567,0.000005363612,0.0006962153,0.0001031313,0.000007019916,0.000006550549,0.00001052996,0.00004468959,0.000007357609,0.0002190599,0.9974713,0.001421823],"study_design_scores_gemma":[0.00006960561,0.000007184427,0.01570372,0.0003026103,0.00001994371,0.00003081975,0.0001685178,0.0002168553,0.00006746298,0.0004990133,0.9828969,0.0000173981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001150759,0.00005026854,0.00004037589,0.00004838895,0.00001479922,0.000008552316,0.9985223,0.00004528509,0.001154931],"genre_scores_gemma":[0.0005494653,0.0001372611,0.0001469104,0.00004102315,0.00001197865,0.0001002911,0.9965059,0.00003602588,0.002471201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1273569,"threshold_uncertainty_score":0.2598866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547296081384309,"score_gpt":0.1740213713961048,"score_spread":0.1585484105822617,"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."}}