{"id":"W6908005035","doi":"10.25549/wpacards-m65080","title":"WPA block face card for household census of 107th, 108th Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","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":[0.0005331801,0.001650761,0.001284437,0.005275208,0.0006979509,0.0018682,0.001845104,0.001109378,0.09878717],"category_scores_gemma":[0.004291092,0.0008468932,0.0007113588,0.01051457,0.0002295172,0.001183197,0.001208724,0.00132203,0.1241589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503482,"about_ca_system_score_gemma":0.00351465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1371421,"about_ca_topic_score_gemma":0.1965047,"domain_scores_codex":[0.9992996,0.00006052867,0.00009103741,0.0001861105,0.0002211082,0.0001415971],"domain_scores_gemma":[0.9974355,0.0002984752,0.0003411944,0.0003801523,0.001290037,0.0002546554],"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":[0.00002602496,0.00001403274,0.001247808,0.0001318085,0.00001012192,0.000009364714,0.00001571156,0.0001080346,0.00003007912,0.000112592,0.9966394,0.001655127],"study_design_scores_gemma":[0.0001850704,0.00001823309,0.03828382,0.0003102037,0.00003445094,0.0000528098,0.0002807974,0.0006597326,0.000395548,0.000487425,0.959247,0.00004489472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001319432,0.00001061681,0.00002372546,0.00001350857,0.000005918425,0.000006817642,0.9992586,0.00006554384,0.0004833066],"genre_scores_gemma":[0.0003606658,0.00002313499,0.00008544937,0.00001322804,0.000003896312,0.00006079886,0.9980123,0.00002145503,0.001419111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1371421,"threshold_uncertainty_score":0.330476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522083247977374,"score_gpt":0.1778512610092574,"score_spread":0.1626304285294836,"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."}}