{"id":"W7131233262","doi":"10.25549/wpacards-c8-121770","title":"WPA household census for 153 N RENO ST, 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; 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":[0.0006671374,0.001255813,0.001127063,0.003474616,0.000580387,0.001888257,0.001502206,0.0004949803,0.08076458],"category_scores_gemma":[0.004163748,0.0006267581,0.0005734971,0.009291735,0.0001860932,0.001327782,0.0009621955,0.001495858,0.08277301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093047,"about_ca_system_score_gemma":0.003847291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1666811,"about_ca_topic_score_gemma":0.1795194,"domain_scores_codex":[0.9991785,0.0001053627,0.000111497,0.0002215157,0.000278413,0.0001048094],"domain_scores_gemma":[0.9976892,0.000254245,0.0002402983,0.0002427192,0.001427221,0.0001463157],"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":[0.000006945827,0.000005205241,0.0006635756,0.000118777,0.000006731562,0.00000648228,0.00001220078,0.0000426605,0.000006529116,0.000263654,0.9971693,0.001697923],"study_design_scores_gemma":[0.00005241656,0.000006422672,0.01498031,0.0003198666,0.00001679004,0.00002877918,0.000173444,0.0001973827,0.00005817031,0.0004483213,0.9837014,0.00001675036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001397605,0.0000752295,0.00005825817,0.00005755266,0.00001924468,0.0000129779,0.9977019,0.00006110263,0.001873918],"genre_scores_gemma":[0.0006830289,0.0002228216,0.0002022329,0.00004718953,0.00001588317,0.0001475883,0.9943546,0.00005109611,0.004275544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1666811,"threshold_uncertainty_score":0.3314218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590258180396749,"score_gpt":0.1767816837839448,"score_spread":0.1608791019799773,"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."}}