{"id":"W7131241818","doi":"10.25549/wpacards-ouc11578434","title":"WPA household census for 3538R SISKIYOU, Los Angeles","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; American Community Survey; Administration (probate law); 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":[0.0005733999,0.001196385,0.001112245,0.003667681,0.0005493629,0.001777501,0.001340283,0.0004578585,0.09664321],"category_scores_gemma":[0.003821128,0.0005743618,0.0005183897,0.009922951,0.0001691699,0.001133166,0.0009530309,0.001255544,0.09001211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888704,"about_ca_system_score_gemma":0.003926828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1642703,"about_ca_topic_score_gemma":0.1816681,"domain_scores_codex":[0.9992968,0.00008968185,0.00009689154,0.0001878813,0.0002303865,0.00009841521],"domain_scores_gemma":[0.9979334,0.0002135616,0.0002140671,0.0002311615,0.00127331,0.0001345722],"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":[0.000009143532,0.000006012101,0.0007887511,0.0001686627,0.000008730904,0.00000862889,0.00001771455,0.00005419806,0.000009963457,0.0002821139,0.9968027,0.001843383],"study_design_scores_gemma":[0.0000533112,0.000006340853,0.01557474,0.0003396503,0.00001774409,0.00002899179,0.0002203043,0.0001792991,0.00006622871,0.0003841281,0.9831126,0.000016575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001480031,0.00005892027,0.0000456886,0.00003996723,0.00001345371,0.00001039219,0.9979777,0.00005935838,0.001646484],"genre_scores_gemma":[0.0006259825,0.0001653701,0.0001426624,0.00003032899,0.000009728151,0.0001299442,0.9949495,0.00004658881,0.003899945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1642703,"threshold_uncertainty_score":0.3266284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505877811238973,"score_gpt":0.1754598173698727,"score_spread":0.1604010392574829,"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."}}