{"id":"W7131263587","doi":"10.25549/wpacards-ouc11580055","title":"WPA household census for 200 SOUTH GAGE 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":[0.0006736257,0.001206352,0.001068169,0.003118815,0.0005818471,0.001901985,0.001415846,0.000532225,0.07554671],"category_scores_gemma":[0.004261006,0.000610523,0.0005364034,0.008934762,0.0001876498,0.001265417,0.0009411004,0.001516553,0.0874048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858615,"about_ca_system_score_gemma":0.003471095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.130503,"about_ca_topic_score_gemma":0.1379429,"domain_scores_codex":[0.9992262,0.00009971279,0.0001083401,0.0002212875,0.0002487608,0.00009565602],"domain_scores_gemma":[0.9975377,0.0002878424,0.0002441266,0.0002521741,0.001516351,0.0001617806],"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":[0.000006788336,0.000005470183,0.0007077185,0.0001015939,0.000007019474,0.000006597337,0.00001078095,0.00004349308,0.000007317722,0.0002203186,0.9974637,0.001419151],"study_design_scores_gemma":[0.00006924605,0.000007152817,0.01595999,0.0002998185,0.00001982015,0.00003062386,0.0001737266,0.0002141368,0.00006787724,0.000498707,0.9826412,0.00001775784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001181175,0.00005035182,0.00004103197,0.00004862519,0.00001500551,0.000008795414,0.9985335,0.00004550961,0.001138988],"genre_scores_gemma":[0.0005543961,0.0001375413,0.0001496368,0.00004042477,0.00001211964,0.0001027685,0.9965204,0.00003576684,0.002446949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.130503,"threshold_uncertainty_score":0.2594868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513514946771012,"score_gpt":0.1729610209038329,"score_spread":0.1578258714361228,"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."}}