{"id":"W7131284095","doi":"10.25549/wpacards-ouc11580711","title":"WPA household census for 3985 GLEASON ST, 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":[0.0006117533,0.00112905,0.0009799635,0.00330971,0.0005375351,0.001690603,0.001300375,0.0004771236,0.08688626],"category_scores_gemma":[0.003814039,0.0005430179,0.0004854708,0.00915975,0.0001638869,0.001166349,0.0008864217,0.001359682,0.08621576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781979,"about_ca_system_score_gemma":0.003452677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1346817,"about_ca_topic_score_gemma":0.1521885,"domain_scores_codex":[0.9992518,0.0000958676,0.00009954176,0.0002078548,0.0002516672,0.0000931547],"domain_scores_gemma":[0.9979498,0.0002334156,0.0002105973,0.0002083252,0.001264101,0.000133833],"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":[0.000006856367,0.000005296028,0.0007255371,0.0001125215,0.000007417786,0.000006584605,0.00001282733,0.00004735281,0.000007885054,0.0002665716,0.9970236,0.001777555],"study_design_scores_gemma":[0.00004842586,0.00000578898,0.01468176,0.000287874,0.00001692163,0.00002579158,0.0001700956,0.0001759094,0.0000560099,0.0004765413,0.984041,0.00001387734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000139606,0.0000629283,0.00004353108,0.00005173024,0.00001504295,0.000009334797,0.9980506,0.00004371396,0.001583538],"genre_scores_gemma":[0.0006364908,0.0001741165,0.0001519136,0.00004349496,0.00001253679,0.000105924,0.9952158,0.00003805801,0.003621774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1346817,"threshold_uncertainty_score":0.2906635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435429874862418,"score_gpt":0.175290231606707,"score_spread":0.1609359328580829,"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."}}