{"id":"W7131271225","doi":"10.25549/wpacards-ouc11579476","title":"WPA household census for 122 SOUTH TOWNSEND 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); Townsend; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006666674,0.001195968,0.001074451,0.003152386,0.0005849654,0.001887738,0.001400564,0.0005009429,0.08140902],"category_scores_gemma":[0.004062618,0.0005828825,0.0005082549,0.009611577,0.0001788453,0.00120495,0.0009108767,0.001429715,0.08728202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745086,"about_ca_system_score_gemma":0.003543978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1241297,"about_ca_topic_score_gemma":0.1392811,"domain_scores_codex":[0.9992146,0.0001066641,0.0001131848,0.0002193339,0.000251122,0.00009509752],"domain_scores_gemma":[0.997683,0.0002682172,0.0002284237,0.0002396254,0.001419677,0.0001608809],"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":[0.000007071364,0.000005751951,0.0007033771,0.0001162894,0.000007173577,0.000006733453,0.00001260916,0.00004618877,0.000008193552,0.0002377566,0.9973257,0.001523218],"study_design_scores_gemma":[0.0000611165,0.000007038509,0.01616193,0.0003029409,0.00001901601,0.00002904827,0.0001839724,0.0002000517,0.00006396915,0.0004996797,0.9824544,0.00001689741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001204401,0.00005020126,0.00004254573,0.00004345593,0.00001456213,0.000009312311,0.9983867,0.0000439111,0.001288918],"genre_scores_gemma":[0.0005405212,0.000141381,0.0001511059,0.00003706907,0.00001139621,0.0001067785,0.9963398,0.00003770803,0.002634248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.918591,"threshold_uncertainty_score":0.2723403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615116900657231,"score_gpt":0.1760425329184866,"score_spread":0.1598913639119143,"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."}}