{"id":"W6889414790","doi":"10.25549/wpacards-m36731","title":"WPA block face card for household census of Veteran, Rose, Greenfield Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Data Visualization and Analytics","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); Metropolitan area","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":[0.0004788866,0.001369524,0.0009837736,0.003872296,0.0006373285,0.001335239,0.00175064,0.0007501827,0.0763033],"category_scores_gemma":[0.003532016,0.0006052162,0.0006179532,0.006831712,0.0001809903,0.0008195251,0.0009970855,0.001014324,0.08035055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127388,"about_ca_system_score_gemma":0.002619775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1214627,"about_ca_topic_score_gemma":0.199847,"domain_scores_codex":[0.9995022,0.00003854438,0.00006555294,0.0001259448,0.0001612578,0.0001066234],"domain_scores_gemma":[0.9977564,0.0001874536,0.0002549828,0.0003226164,0.00123883,0.0002397166],"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":[0.00005005169,0.00002607875,0.002830546,0.0001161367,0.00001072274,0.00001369938,0.00001880099,0.0001126837,0.00004851583,0.00009691554,0.9938071,0.002868649],"study_design_scores_gemma":[0.0002665746,0.00003151592,0.0808631,0.0002697105,0.00003489186,0.00008284552,0.0004893898,0.0008341634,0.0005698608,0.0004260976,0.9160839,0.00004796885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003968112,0.000009884073,0.00003132259,0.00002027038,0.00001021872,0.00001850064,0.9987267,0.00008375958,0.000702643],"genre_scores_gemma":[0.001026941,0.00002394476,0.0001404275,0.00001925987,0.000006920263,0.0001319181,0.9965689,0.00002405559,0.002057556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1214627,"threshold_uncertainty_score":0.25526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908409986199376,"score_gpt":0.2014577654323305,"score_spread":0.1823736655703367,"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."}}