{"id":"W7131270198","doi":"10.25549/wpacards-ouc11553567","title":"WPA household census for 4064 NAOMI AVENUE, 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":[0.0006781563,0.001172096,0.001079148,0.003107911,0.0005769086,0.001876012,0.001393912,0.0005060577,0.08818909],"category_scores_gemma":[0.004200925,0.0005799842,0.0005096928,0.008998886,0.0001803476,0.001314333,0.0009472345,0.001410067,0.09012016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980414,"about_ca_system_score_gemma":0.004025645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1334439,"about_ca_topic_score_gemma":0.1442814,"domain_scores_codex":[0.9991503,0.0001051379,0.0001180848,0.000240521,0.00028756,0.00009845776],"domain_scores_gemma":[0.9975987,0.0002600651,0.0002429153,0.0002301578,0.001514672,0.0001533502],"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":[0.00000697267,0.000005408377,0.0007624693,0.0001210988,0.000007332049,0.00000683949,0.00001201455,0.00004487148,0.000007353744,0.0002678899,0.9969968,0.001761065],"study_design_scores_gemma":[0.00005451976,0.000006239742,0.0138233,0.0003119557,0.00001783392,0.00002670008,0.0001623971,0.0001786019,0.00005274343,0.0004733923,0.9848775,0.00001477507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001163512,0.00006162732,0.00004422025,0.00005430553,0.00001758123,0.00001056295,0.9979892,0.00004351492,0.001662642],"genre_scores_gemma":[0.0006320237,0.0001935917,0.0001827941,0.00004887427,0.00001475089,0.0001303997,0.99507,0.00003908771,0.003688487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1334439,"threshold_uncertainty_score":0.2950219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369272446800759,"score_gpt":0.1737673475691376,"score_spread":0.16007462310113,"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."}}