{"id":"W7131223578","doi":"10.25549/wpacards-c8-131336","title":"WPA household census for 243 WEST 52ND STREET, 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":[0.0006901142,0.001219257,0.001106779,0.003137768,0.000602328,0.001975959,0.001430519,0.0005282187,0.08775165],"category_scores_gemma":[0.004257095,0.0005962768,0.0005393969,0.0093851,0.0001853991,0.001272936,0.0009284517,0.001502792,0.09716193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190579,"about_ca_system_score_gemma":0.003862318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1272691,"about_ca_topic_score_gemma":0.1384628,"domain_scores_codex":[0.9991742,0.0001068281,0.0001184173,0.0002304551,0.000271932,0.00009822527],"domain_scores_gemma":[0.9975793,0.0002808162,0.0002365474,0.0002520617,0.001491596,0.0001597327],"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":[0.000006648532,0.000005311577,0.0006366311,0.0001062695,0.000006594239,0.000006344449,0.00001078966,0.00004231382,0.000007183089,0.0002240693,0.9974337,0.001514157],"study_design_scores_gemma":[0.00005902795,0.000006661049,0.01416261,0.0003155096,0.00001842886,0.00002757008,0.0001671565,0.0001826123,0.00005926531,0.0004906281,0.9844944,0.00001612119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001118892,0.00005574264,0.00004243986,0.00004992008,0.00001641938,0.000009625382,0.9982435,0.00004562434,0.001424828],"genre_scores_gemma":[0.0005556549,0.0001652485,0.0001580421,0.00004408092,0.00001321718,0.0001141681,0.9958585,0.00004117996,0.003049953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1272691,"threshold_uncertainty_score":0.2935585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442011226577798,"score_gpt":0.1757972981618027,"score_spread":0.1613771858960247,"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."}}