{"id":"W7131304171","doi":"10.25549/wpacards-c8-164934","title":"WPA household census for 2351 HEPWORTH 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; American Community Survey; Administration (probate law); 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":[0.0007083504,0.00122089,0.001091473,0.003227181,0.0005831136,0.001910199,0.001433556,0.0005273998,0.08802741],"category_scores_gemma":[0.004418678,0.000598529,0.0005345579,0.009096179,0.0001826045,0.001304829,0.0009705676,0.001484567,0.09812459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917284,"about_ca_system_score_gemma":0.003659931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1232907,"about_ca_topic_score_gemma":0.1282247,"domain_scores_codex":[0.9991764,0.000106325,0.0001126904,0.0002371307,0.0002672334,0.0001001195],"domain_scores_gemma":[0.9975277,0.000296612,0.0002494874,0.000259962,0.001503485,0.0001628976],"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":[0.000006653107,0.000005019984,0.0006487341,0.0001041452,0.000006872881,0.000006109894,0.0000103784,0.0000409921,0.000007033605,0.0002327798,0.9974121,0.001519155],"study_design_scores_gemma":[0.00005796115,0.000006616912,0.01368365,0.000304179,0.00001864814,0.00002690623,0.0001649622,0.0001883234,0.00006050641,0.000489012,0.9849836,0.0000154977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001104494,0.00005415915,0.00004405115,0.0000496439,0.00001556247,0.000008940296,0.9983791,0.00004573938,0.00129229],"genre_scores_gemma":[0.0005541603,0.0001509053,0.0001575497,0.00004234906,0.00001284597,0.0001068901,0.9960505,0.00003904799,0.002885719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1232907,"threshold_uncertainty_score":0.294481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380012319870015,"score_gpt":0.1728775570676107,"score_spread":0.1590774338689105,"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."}}