{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006387683,0.00023073,0.0003956495,0.0002323437,0.00004697537,0.00009507154,0.001238149,0.000223298,0.00001135786],"category_scores_gemma":[0.0000181605,0.0002438504,0.0001715845,0.0002781941,0.0001242941,0.0005420059,0.000559496,0.0001512384,0.00002903958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002132897,"about_ca_system_score_gemma":0.0001111108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009482762,"about_ca_topic_score_gemma":0.00003606881,"domain_scores_codex":[0.9988369,0.00002997798,0.0002864311,0.0003160896,0.000277789,0.0002527782],"domain_scores_gemma":[0.998869,0.00009853338,0.0003229889,0.0005395645,0.00004380534,0.0001261058],"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":[0.00004002715,0.0001701895,0.001526786,0.0002713035,0.0000376953,0.00001465028,0.00001959726,0.00002693693,0.000001295398,0.00004012019,0.9972582,0.0005931831],"study_design_scores_gemma":[0.000426738,0.00003476234,0.00001811204,0.0001368197,0.00003564001,0.000002015016,0.000314061,0.0005659837,0.00002884063,0.00005083378,0.9981315,0.0002547482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004155623,0.0001044297,0.001476982,0.00003813298,0.00004358785,0.0001721262,0.9975737,0.00005185782,0.0001235909],"genre_scores_gemma":[0.002159034,0.00004681839,0.0004343681,0.00007300256,0.00004596732,1.850679e-7,0.9970859,0.00001853569,0.0001361769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.001743471,"threshold_uncertainty_score":0.9943931,"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."}}