{"id":"W7131301328","doi":"10.25549/wpacards-c8-162405","title":"WPA household census for 710 SOUTH KERN 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":[0.0006885881,0.001211957,0.001064988,0.003204586,0.0005995801,0.001894005,0.001435701,0.0005180608,0.08028602],"category_scores_gemma":[0.004312714,0.0006044512,0.0005353344,0.009404647,0.0001865741,0.001294698,0.0009449414,0.001506263,0.09316979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892312,"about_ca_system_score_gemma":0.003762751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1334738,"about_ca_topic_score_gemma":0.1405902,"domain_scores_codex":[0.9991959,0.0001056975,0.0001126239,0.0002251563,0.0002589357,0.0001016864],"domain_scores_gemma":[0.9975714,0.000278642,0.000235485,0.000245611,0.001510146,0.0001587594],"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":[0.000006693376,0.000005054531,0.0006718388,0.0001049749,0.000006795734,0.000006590642,0.0000110967,0.00004269012,0.000007052247,0.0002309116,0.9974535,0.001452768],"study_design_scores_gemma":[0.00005985667,0.000006666471,0.01468695,0.0003092637,0.00001887125,0.00002962725,0.0001795218,0.000187186,0.00006213908,0.0004952041,0.9839482,0.00001645086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001129814,0.00005344681,0.0000439977,0.00004841728,0.00001537626,0.00000895662,0.9983934,0.00004436262,0.001279001],"genre_scores_gemma":[0.0005521054,0.0001515634,0.0001552848,0.00004108759,0.00001228864,0.0001069096,0.9961892,0.00003827505,0.002753288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1334738,"threshold_uncertainty_score":0.2685835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456677202327631,"score_gpt":0.1728512762774464,"score_spread":0.1582845042541701,"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."}}