{"id":"W7131253155","doi":"10.25549/wpacards-c8-154804","title":"WPA household census for 4061 NAOMI AVENUE, 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); Population statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006686689,0.001168654,0.001075507,0.003102192,0.0005768806,0.001889297,0.001386841,0.0005017385,0.08841703],"category_scores_gemma":[0.004151831,0.0005786298,0.0005036043,0.009033208,0.0001795944,0.001322225,0.0009405737,0.001391392,0.09093741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929041,"about_ca_system_score_gemma":0.00393896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1312191,"about_ca_topic_score_gemma":0.1432908,"domain_scores_codex":[0.9991524,0.0001050279,0.0001169942,0.0002402217,0.0002876575,0.00009767071],"domain_scores_gemma":[0.9976471,0.0002544104,0.0002388579,0.0002277599,0.001479974,0.0001520086],"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":[0.000006859955,0.000005384985,0.0007679482,0.0001183973,0.000007241404,0.000006783138,0.00001229707,0.0000444728,0.000007277647,0.0002662318,0.9969652,0.001791825],"study_design_scores_gemma":[0.00005296097,0.00000610952,0.01397244,0.0003063053,0.00001738055,0.00002635006,0.0001641638,0.0001783968,0.00005186732,0.0004691986,0.9847403,0.00001456312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001201125,0.00006351113,0.00004522607,0.00005516448,0.00001764763,0.00001059881,0.997922,0.00004476631,0.001721071],"genre_scores_gemma":[0.00064597,0.0001971061,0.0001833366,0.00004863421,0.0000147262,0.0001297119,0.9949798,0.00003932697,0.003761377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9115829,"threshold_uncertainty_score":0.2957844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368635295651298,"score_gpt":0.1737371171373759,"score_spread":0.1600507641808629,"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."}}