{"id":"W7131239071","doi":"10.25549/wpacards-c8-135404","title":"WPA household census for 2153 BLISS ST, 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; American Community Survey; BLISS; Administration (probate law)","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":[0.0006607415,0.001201336,0.001086281,0.003176593,0.00059154,0.001863681,0.001387282,0.000535453,0.08411078],"category_scores_gemma":[0.004237175,0.0005881442,0.0005577283,0.009073086,0.0001770131,0.001186505,0.0009479622,0.001410712,0.09157859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898874,"about_ca_system_score_gemma":0.003671454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1317478,"about_ca_topic_score_gemma":0.1388795,"domain_scores_codex":[0.9991624,0.0001093229,0.0001215154,0.0002319841,0.0002716978,0.0001030543],"domain_scores_gemma":[0.9976907,0.0002589412,0.0002293748,0.0002338656,0.001439892,0.0001471437],"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":[0.000007226442,0.000005354327,0.0007312472,0.000113246,0.000007681043,0.000006766276,0.0000113083,0.00004467191,0.000007236193,0.0002428446,0.9972544,0.001568057],"study_design_scores_gemma":[0.00006030013,0.000006806817,0.01511464,0.0002977696,0.00001975248,0.00002731207,0.0001626909,0.0001892667,0.00005829071,0.0004904882,0.983557,0.00001551992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001218512,0.00005687892,0.00004202273,0.00005269142,0.00001621507,0.000009620358,0.9982859,0.0000426268,0.001372159],"genre_scores_gemma":[0.0006028471,0.0001589043,0.0001454996,0.00004566074,0.00001339261,0.0001153827,0.9957657,0.00003785343,0.003114778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1317478,"threshold_uncertainty_score":0.2813786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509957599799064,"score_gpt":0.1776027946379955,"score_spread":0.1625032186400048,"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."}}