{"id":"W7131235898","doi":"10.25549/wpacards-ouc11579381","title":"WPA household census for 231 S 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":[0.0006754871,0.001209552,0.001107965,0.00315947,0.0005891636,0.001967476,0.001397131,0.0005181378,0.07533021],"category_scores_gemma":[0.004244538,0.0006037991,0.000526726,0.009451889,0.000183283,0.001229716,0.0009542012,0.001493295,0.08125044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814812,"about_ca_system_score_gemma":0.003843462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1300908,"about_ca_topic_score_gemma":0.143493,"domain_scores_codex":[0.9991899,0.0001052542,0.0001182618,0.000220181,0.0002668328,0.00009961498],"domain_scores_gemma":[0.9975635,0.0002891311,0.0002335345,0.0002541727,0.001485582,0.0001740975],"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":[0.000006806971,0.000005700426,0.0006871031,0.0001122099,0.000007126824,0.000006743457,0.00001146807,0.00004656519,0.000007698641,0.000241322,0.9973739,0.001493371],"study_design_scores_gemma":[0.00006178994,0.000006984961,0.01605786,0.0003151114,0.00001853585,0.00002867931,0.0001706295,0.0002077768,0.00006291035,0.0005222783,0.9825302,0.00001721884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001151588,0.00005251334,0.00004172454,0.00004805998,0.0000157157,0.000009800997,0.998327,0.00004427079,0.001345767],"genre_scores_gemma":[0.0005624882,0.0001562638,0.0001614825,0.00004088122,0.00001220938,0.0001090649,0.9963186,0.00004016724,0.002598881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9246698,"threshold_uncertainty_score":0.2586671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154881036382915,"score_gpt":0.1781413635306715,"score_spread":0.16265325989238,"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."}}