{"id":"W7131303164","doi":"10.25549/wpacards-ouc11554424","title":"WPA household census for 530 S WOODS 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":[0.0007369262,0.001241805,0.001112981,0.003297563,0.0005834064,0.002017968,0.001488409,0.0005381182,0.08124945],"category_scores_gemma":[0.004558584,0.0006125251,0.0005556145,0.009234575,0.000196921,0.00139564,0.0009785854,0.001570408,0.09551255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944102,"about_ca_system_score_gemma":0.003769969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1205025,"about_ca_topic_score_gemma":0.1241497,"domain_scores_codex":[0.9991305,0.0001092767,0.0001227034,0.0002452518,0.0002878562,0.000104399],"domain_scores_gemma":[0.9973488,0.0003025449,0.0002586935,0.0002671409,0.001650684,0.0001721065],"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":[0.000006764227,0.000005213025,0.0006436678,0.0001035129,0.000006463057,0.000006210022,0.00001031025,0.00004010434,0.000007022477,0.0002605508,0.9973708,0.001539254],"study_design_scores_gemma":[0.00005933689,0.000006499611,0.01327368,0.0002982276,0.00001785239,0.00002877752,0.0001523369,0.0001836541,0.0000591051,0.0005066817,0.9853977,0.00001613608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001033514,0.00005708751,0.0000479049,0.0000549057,0.00001730386,0.00001064518,0.9981928,0.00004873146,0.001467254],"genre_scores_gemma":[0.0005493237,0.0001718961,0.0001812952,0.00004835507,0.0000145906,0.0001166555,0.9958781,0.00004334434,0.002996465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1205025,"threshold_uncertainty_score":0.2718065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474334203056504,"score_gpt":0.1788502652834968,"score_spread":0.1641069232529318,"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."}}