{"id":"W7131244075","doi":"10.25549/wpacards-ouc11549468","title":"WPA household census for 6516 1/2 PURDY 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; American Community Survey; Administration (probate law); 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":[0.0007082357,0.001331275,0.001098119,0.003144649,0.0005880629,0.001956287,0.001381509,0.0005614544,0.08836054],"category_scores_gemma":[0.004314783,0.0006373753,0.0005875973,0.009325515,0.0001916373,0.001255687,0.0009601077,0.001474332,0.1052905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948425,"about_ca_system_score_gemma":0.003697496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1255395,"about_ca_topic_score_gemma":0.1332664,"domain_scores_codex":[0.9991392,0.0001075685,0.00011567,0.0002464084,0.0002851749,0.0001059858],"domain_scores_gemma":[0.9976016,0.0002832134,0.0002506081,0.0002720325,0.001421219,0.0001713297],"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":[0.000006707175,0.000005902691,0.0006762914,0.0001010334,0.00000658231,0.000005735047,0.00001103659,0.00004303152,0.000007879045,0.0002068916,0.9974511,0.00147769],"study_design_scores_gemma":[0.00006431605,0.000006967477,0.01517109,0.0002957472,0.00001880397,0.00002611173,0.0001713901,0.0002033948,0.00007232124,0.0004532053,0.9835005,0.00001620067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001221117,0.00004582225,0.00004117116,0.00004367547,0.00001393766,0.000009219342,0.9983935,0.00004769693,0.001282835],"genre_scores_gemma":[0.0005278541,0.0001306822,0.0001517795,0.00003600565,0.00001114766,0.0001084046,0.9959902,0.00003932541,0.003004619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1255395,"threshold_uncertainty_score":0.2955955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014147072396745,"score_gpt":0.1745401469862615,"score_spread":0.1603930745895165,"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."}}