{"id":"W7131317701","doi":"10.25549/wpacards-c8-134542","title":"WPA block face card for household census (block 343) in 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); Block (permutation group theory); American Community Survey","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":[0.0006745819,0.001169564,0.001044985,0.003294592,0.0006843915,0.001985041,0.001592812,0.0007583036,0.08835226],"category_scores_gemma":[0.004000337,0.0006186828,0.0005056739,0.008843095,0.0002242615,0.001095096,0.001254197,0.001355594,0.1223726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181549,"about_ca_system_score_gemma":0.003143383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1315765,"about_ca_topic_score_gemma":0.15708,"domain_scores_codex":[0.9991474,0.0001029679,0.0001066526,0.00025813,0.0002507909,0.0001339813],"domain_scores_gemma":[0.9974173,0.0002807511,0.0003006483,0.0003698203,0.001393982,0.0002373353],"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":[0.00001073121,0.000007339392,0.0007107459,0.0000853037,0.000005505281,0.000006749639,0.00001111987,0.00005102546,0.00001487924,0.0001605221,0.9978733,0.00106276],"study_design_scores_gemma":[0.00008198393,0.000008635795,0.01617148,0.0001856123,0.00001266673,0.00002552581,0.0001539887,0.0002443383,0.0001303932,0.0003614156,0.9826034,0.00002059499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001268862,0.00001643494,0.00002866572,0.0000262408,0.000008359872,0.000007182206,0.9989598,0.00006084729,0.000765555],"genre_scores_gemma":[0.000326409,0.0000286361,0.00009747425,0.00001892678,0.000004757178,0.00006352638,0.9980847,0.00002505754,0.001350627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1315765,"threshold_uncertainty_score":0.2955678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388070703779825,"score_gpt":0.1771836940324708,"score_spread":0.1633029869946725,"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."}}