{"id":"W7131316194","doi":"10.25549/wpacards-ouc11586943","title":"WPA household census for 653 SOUTH ATLANTIC 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":[0.000647555,0.001236211,0.001069708,0.00321062,0.0005725714,0.001829062,0.001368288,0.0005170341,0.0847196],"category_scores_gemma":[0.004164302,0.0005915998,0.0005598187,0.009643502,0.0001839122,0.0012474,0.0009313098,0.001445399,0.09716053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792316,"about_ca_system_score_gemma":0.003562809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1282885,"about_ca_topic_score_gemma":0.1329523,"domain_scores_codex":[0.9992157,0.0000993177,0.0001151326,0.0002208768,0.0002513882,0.00009751858],"domain_scores_gemma":[0.9977371,0.0002574595,0.0002372045,0.0002256989,0.001394647,0.0001479518],"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":[0.000006973251,0.000005233009,0.000710437,0.0001137071,0.000007398386,0.000006784725,0.00001100253,0.00004361617,0.000007298857,0.0002151376,0.9974173,0.001454988],"study_design_scores_gemma":[0.00006306584,0.000006907123,0.01577674,0.0003302574,0.00002085773,0.00003106308,0.0001793627,0.0001900162,0.00006253354,0.0004921244,0.9828306,0.00001635921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001142815,0.00005490128,0.0000395079,0.00004544536,0.00001490493,0.000008730102,0.9984227,0.00004168344,0.00125779],"genre_scores_gemma":[0.0005626877,0.0001567677,0.0001343985,0.00004049775,0.00001256192,0.0001032299,0.9961321,0.00003681231,0.002820806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1282885,"threshold_uncertainty_score":0.2834153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435225889731778,"score_gpt":0.1716067368823922,"score_spread":0.1572544779850744,"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."}}