{"id":"W7131243836","doi":"10.25549/wpacards-ouc11550312","title":"WPA household census for 4446 1/2 EAST 59TH PLACE, 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); American Community Survey; Data collection; 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":[0.0006765946,0.001287372,0.001090783,0.003557183,0.0006170198,0.002053964,0.001415554,0.000559727,0.1051548],"category_scores_gemma":[0.004339134,0.0006479415,0.0005888125,0.01085387,0.0001910854,0.001278478,0.000973484,0.001397489,0.1161057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841713,"about_ca_system_score_gemma":0.003724908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1195418,"about_ca_topic_score_gemma":0.1321812,"domain_scores_codex":[0.999149,0.0001086622,0.0001194943,0.0002325333,0.0002843683,0.0001060563],"domain_scores_gemma":[0.9976815,0.0002928313,0.0002457691,0.0002634943,0.001354238,0.0001621891],"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":[0.000006976481,0.000005604798,0.0006395266,0.0001257162,0.000006402058,0.00000568771,0.00001214421,0.000045607,0.000008278394,0.0002013836,0.9974274,0.001515192],"study_design_scores_gemma":[0.00005648754,0.000006386752,0.01417066,0.0003075312,0.0000169698,0.00002423672,0.0001735416,0.0001711244,0.00006598926,0.0003819677,0.9846101,0.00001499338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001063504,0.00004383815,0.00003641999,0.00003645321,0.00001312124,0.000008321585,0.9984406,0.00004224059,0.001272755],"genre_scores_gemma":[0.000495751,0.0001329358,0.000136883,0.0000330603,0.00001097671,0.000110127,0.9960562,0.00003922516,0.002984751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1195418,"threshold_uncertainty_score":0.3517779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403987139897929,"score_gpt":0.1698917213479673,"score_spread":0.155851849948988,"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."}}