{"id":"W7131301685","doi":"10.25549/wpacards-c8-160275","title":"WPA household census for 3310 ROSECRANS AVE, 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":[0.0006867269,0.001256739,0.00109175,0.003071478,0.0005737473,0.001931572,0.001385453,0.0005488163,0.07799274],"category_scores_gemma":[0.00425757,0.0005839126,0.0005526324,0.008553222,0.0001876601,0.001220964,0.0009508483,0.001486352,0.09411273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817576,"about_ca_system_score_gemma":0.003372759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143809,"about_ca_topic_score_gemma":0.1301875,"domain_scores_codex":[0.9991986,0.0001025517,0.0001043686,0.0002393585,0.0002620384,0.0000931366],"domain_scores_gemma":[0.9976164,0.0002891842,0.0002385053,0.0002610898,0.001434122,0.0001607162],"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":[0.000006596799,0.000005155955,0.0006557446,0.00009495184,0.000006519136,0.000005809946,0.000008876278,0.000042303,0.000007017115,0.0001933193,0.9975897,0.001383999],"study_design_scores_gemma":[0.00006675794,0.000006485757,0.01364663,0.0003049456,0.00001895281,0.00002911201,0.0001521982,0.0002289297,0.00006893471,0.0004850433,0.9849754,0.00001667258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001109792,0.00005040527,0.0000416071,0.00004742096,0.00001439868,0.000007392892,0.9986138,0.00004740319,0.001066489],"genre_scores_gemma":[0.0004871796,0.0001231849,0.000137838,0.00003600927,0.00001098856,0.00008601413,0.9968114,0.0000344037,0.002272943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1143809,"threshold_uncertainty_score":0.2609117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369653514276256,"score_gpt":0.173456102580465,"score_spread":0.1597595674377024,"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."}}