{"id":"W7131290701","doi":"10.25549/wpacards-ouc11580326","title":"WPA household census for 110 SOUTH DICKERSON 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); Value (mathematics); American Community Survey","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":[0.0006631757,0.001182631,0.001041876,0.003188176,0.000579174,0.00188824,0.001361567,0.0004911773,0.08106505],"category_scores_gemma":[0.004175926,0.0005776384,0.0005206465,0.009335106,0.0001803068,0.001250829,0.0009201448,0.001446258,0.08707712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802577,"about_ca_system_score_gemma":0.003559378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1302098,"about_ca_topic_score_gemma":0.1437001,"domain_scores_codex":[0.9991999,0.0001043683,0.0001114807,0.0002255337,0.0002624296,0.00009627023],"domain_scores_gemma":[0.9976763,0.000269789,0.00023379,0.0002469722,0.001415759,0.0001573214],"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":[0.000006849085,0.000005380494,0.0007273064,0.0001082759,0.000007145543,0.000006471116,0.00001196341,0.00004519513,0.000007516354,0.0002452683,0.9973012,0.001527401],"study_design_scores_gemma":[0.00005767853,0.000006630049,0.0164196,0.0003002115,0.00001886964,0.00002855428,0.0001776434,0.0001938412,0.00006258379,0.0005036841,0.9822143,0.00001640701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001231598,0.00005461156,0.00004186135,0.00004562919,0.00001518443,0.000008807438,0.9983723,0.00004414008,0.001294387],"genre_scores_gemma":[0.0005646179,0.0001507516,0.0001494413,0.00003800034,0.00001200493,0.00009977815,0.9962717,0.00003760591,0.00267609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1302098,"threshold_uncertainty_score":0.2711896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477906996925807,"score_gpt":0.174713210330204,"score_spread":0.159934140360946,"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."}}