{"id":"W7131306674","doi":"10.25549/wpacards-ouc11578808","title":"WPA household census for 6611 CHANSLOR 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":[0.0006612095,0.001208294,0.001038619,0.003070505,0.0005682893,0.001865911,0.001350939,0.0005142429,0.07349656],"category_scores_gemma":[0.004128208,0.0005708783,0.000531961,0.008485753,0.0001826933,0.001202813,0.0009184268,0.001424529,0.08737978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792402,"about_ca_system_score_gemma":0.003490438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1297206,"about_ca_topic_score_gemma":0.1460533,"domain_scores_codex":[0.9992326,0.00009964956,0.0001012456,0.0002265042,0.0002499793,0.00008994597],"domain_scores_gemma":[0.9976451,0.0002707957,0.0002348105,0.0002503176,0.001439703,0.0001593019],"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":[0.000007000173,0.000005518866,0.0007837446,0.0000972852,0.000006974931,0.000006385229,0.00001050263,0.0000463527,0.000007108518,0.0002083386,0.9972971,0.001523788],"study_design_scores_gemma":[0.00006846059,0.000007038244,0.01589945,0.0003044462,0.00001987542,0.00002957009,0.0001691535,0.0002339273,0.00006771257,0.0004896885,0.9826937,0.00001691689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001271556,0.00005152112,0.00004307013,0.00004895724,0.00001408919,0.000007910081,0.9985194,0.0000467274,0.001141271],"genre_scores_gemma":[0.0005503083,0.0001323867,0.0001402237,0.00003629881,0.00001100478,0.00009224833,0.9964718,0.00003442105,0.002531438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1297206,"threshold_uncertainty_score":0.2579311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578437278344849,"score_gpt":0.1749093988213925,"score_spread":0.159125026037944,"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."}}