{"id":"W7131300029","doi":"10.25549/wpacards-c8-141249","title":"WPA household census for 5053 UNION PACIFIC 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":[0.0006732657,0.001230203,0.00106492,0.003276449,0.0005698273,0.001906096,0.001406044,0.0005311045,0.0856379],"category_scores_gemma":[0.004303812,0.0006083478,0.0005477912,0.009522481,0.0001863567,0.001365996,0.0009731663,0.001510888,0.09694695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756583,"about_ca_system_score_gemma":0.003383193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1122478,"about_ca_topic_score_gemma":0.1161707,"domain_scores_codex":[0.9991762,0.0001073127,0.0001151873,0.0002372107,0.0002632852,0.0001008517],"domain_scores_gemma":[0.997609,0.0002887806,0.0002447042,0.0002514021,0.00145047,0.0001555218],"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":[0.000006790795,0.000005452344,0.0006595258,0.0001089659,0.000006962683,0.00000622416,0.00001083623,0.00004388184,0.000007437156,0.000237424,0.9973903,0.001516265],"study_design_scores_gemma":[0.00005812726,0.000006468527,0.01346567,0.00029476,0.00001822581,0.00002865992,0.0001666391,0.0001899085,0.00006488047,0.0004857147,0.9852051,0.0000156431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001106262,0.00005082369,0.00004135686,0.00004618582,0.00001536364,0.000008667149,0.9984029,0.00004568606,0.001278417],"genre_scores_gemma":[0.0005323532,0.0001444682,0.0001473335,0.00003933861,0.00001202431,0.0001021337,0.9962648,0.00003759678,0.002719915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1122478,"threshold_uncertainty_score":0.2864873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329377734333628,"score_gpt":0.1710937799630146,"score_spread":0.1578000026196783,"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."}}