{"id":"W7131296758","doi":"10.25549/wpacards-c8-135715","title":"WPA household census for 359 W 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":[0.0006467973,0.001280203,0.001089467,0.003193914,0.0005948702,0.002042182,0.001390211,0.0005462372,0.0778265],"category_scores_gemma":[0.004196495,0.0005860676,0.0005620857,0.00903705,0.0001919573,0.001275864,0.0009686222,0.001520101,0.09851854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843771,"about_ca_system_score_gemma":0.00346574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1239414,"about_ca_topic_score_gemma":0.1392713,"domain_scores_codex":[0.9992115,0.00009314385,0.0001050974,0.0002360895,0.0002613138,0.00009276602],"domain_scores_gemma":[0.997689,0.0002741158,0.0002304917,0.0002549416,0.001388554,0.0001629465],"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":[0.00000609073,0.000005129178,0.0006479736,0.00009105526,0.000006287134,0.000005942602,0.00000936373,0.00003906387,0.000007032746,0.0001842097,0.9976623,0.001335544],"study_design_scores_gemma":[0.00005830371,0.000006141879,0.01354676,0.0002944409,0.0000180616,0.0000281087,0.0001567226,0.0002076552,0.00006652832,0.0004691584,0.9851312,0.00001675896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001088546,0.0000506555,0.00003861444,0.00004599931,0.00001426772,0.00000731445,0.998544,0.00004865446,0.001141789],"genre_scores_gemma":[0.0004620757,0.0001236985,0.0001322463,0.00003506301,0.00001075573,0.00007862866,0.9968151,0.00003466377,0.002307778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239414,"threshold_uncertainty_score":0.2603556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387203394768502,"score_gpt":0.1736319007583576,"score_spread":0.1597598668106726,"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."}}