{"id":"W6926692721","doi":"10.25549/wpacards-c8-131961","title":"WPA block face card for household census (block 429) in Los Angeles","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin); Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009613494,0.0003463284,0.0004924657,0.000375764,0.00009030134,0.0002052946,0.002540533,0.000361175,0.000004173978],"category_scores_gemma":[0.00004225683,0.000383231,0.000203038,0.0003427923,0.0001854165,0.0006178829,0.0009333769,0.00029734,0.0001959939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006590062,"about_ca_system_score_gemma":0.0001524532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004457796,"about_ca_topic_score_gemma":0.00001506453,"domain_scores_codex":[0.9982617,0.0000540096,0.0003315316,0.0006669963,0.0003206806,0.0003650985],"domain_scores_gemma":[0.9980728,0.0001671393,0.0004040162,0.001162014,0.0000479767,0.0001460385],"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":[0.00003585204,0.00009513541,0.00019357,0.0001601776,0.0000212267,0.00002030609,0.00001105984,0.00001500299,0.000004912425,0.00003889947,0.9987614,0.0006424123],"study_design_scores_gemma":[0.0003676359,0.0000423169,0.00001417789,0.0001418422,0.0000181176,0.000006018739,0.000115725,0.0002887194,0.0001416907,0.0003478677,0.9981171,0.0003987625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001137882,0.00004659666,0.005857483,0.0001832041,0.00004431292,0.000419298,0.9927427,0.0003552178,0.0002373827],"genre_scores_gemma":[0.0006897076,0.00003172996,0.004694287,0.0001213954,0.00006322169,0.000001847119,0.994126,0.00003597558,0.000235824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.001607156,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456277858214708,"score_gpt":0.1851044748354025,"score_spread":0.1705416962532554,"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."}}