{"id":"W7131309810","doi":"10.25549/wpacards-c8-138864","title":"WPA block face card for household census (block 1515) in Los Angeles","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); Block (permutation group theory); 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":[0.0006771494,0.001327549,0.001163986,0.003314898,0.0006814211,0.002143365,0.001805049,0.0008205136,0.09961201],"category_scores_gemma":[0.004300009,0.0006320619,0.0005798117,0.007795913,0.0002511715,0.001299265,0.001419276,0.001463444,0.1453104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837323,"about_ca_system_score_gemma":0.002836283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1180788,"about_ca_topic_score_gemma":0.1478427,"domain_scores_codex":[0.9991463,0.0001122323,0.0001076554,0.0002611924,0.0002396018,0.0001329227],"domain_scores_gemma":[0.9976828,0.0002754958,0.0002549084,0.000379349,0.001189225,0.000218203],"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":[0.000009361706,0.000006365331,0.000482882,0.0000896343,0.000005408233,0.000006194441,0.000009327458,0.00004965745,0.00001204431,0.0001582567,0.9981251,0.001045859],"study_design_scores_gemma":[0.00007202817,0.000007500669,0.009415106,0.0001815131,0.00001068238,0.00002446553,0.0001180571,0.0002585439,0.0001104525,0.0003857008,0.9893963,0.00001966931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009278706,0.00001872111,0.00003307229,0.00002800611,0.000009975348,0.000007062587,0.9989645,0.00008590161,0.0007599028],"genre_scores_gemma":[0.0002370685,0.00002788198,0.00009407765,0.00001761429,0.000004568312,0.00005459256,0.9983801,0.0000268099,0.001157416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1180788,"threshold_uncertainty_score":0.3332354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469789997157058,"score_gpt":0.1784945630767574,"score_spread":0.1637966631051868,"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."}}