{"id":"W7131255228","doi":"10.25549/wpacards-ouc11579042","title":"WPA household census for 124 SOUTH ALMA STREET, 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); American Community Survey; Value (mathematics)","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":[0.0006433988,0.001162081,0.00102176,0.003246457,0.0005826529,0.001814688,0.001379757,0.0005016039,0.07715241],"category_scores_gemma":[0.00399522,0.0005645227,0.0005021153,0.009721252,0.0001762887,0.001186023,0.0008914245,0.001373232,0.08432503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790654,"about_ca_system_score_gemma":0.003541795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.130501,"about_ca_topic_score_gemma":0.1476933,"domain_scores_codex":[0.9992262,0.0001017563,0.0001095284,0.0002158616,0.0002532584,0.00009338082],"domain_scores_gemma":[0.9977775,0.0002516199,0.0002315896,0.0002324849,0.001356353,0.0001504966],"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":[0.00000744182,0.000005711874,0.0007760766,0.0001177652,0.000007432345,0.000006960129,0.00001315844,0.0000463617,0.000008496225,0.0002418016,0.9971815,0.001587204],"study_design_scores_gemma":[0.0000582936,0.000006695908,0.01702328,0.0003036951,0.00001880071,0.00002876047,0.00018422,0.0001928206,0.00006342193,0.0004864778,0.9816173,0.00001620608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001306263,0.00005399387,0.00004151469,0.00004483324,0.00001466289,0.000009421571,0.9983259,0.00004291805,0.001336183],"genre_scores_gemma":[0.0005831345,0.0001481414,0.0001508378,0.00003933979,0.00001205446,0.0001122493,0.9960902,0.00003634524,0.002827726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.130501,"threshold_uncertainty_score":0.2594828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522931335803347,"score_gpt":0.1753263578314977,"score_spread":0.1600970444734643,"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."}}