{"id":"W7131318668","doi":"10.25549/wpacards-c8-162351","title":"WPA household census for 747 SOUTH KERN 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; American Community Survey; Administration (probate law)","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":[0.000662401,0.00121128,0.001052948,0.003236697,0.0005991871,0.00181533,0.001420634,0.0005110988,0.08215944],"category_scores_gemma":[0.004198574,0.0005895807,0.0005253975,0.009571954,0.0001850861,0.001263109,0.0009199278,0.001451042,0.09701372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849163,"about_ca_system_score_gemma":0.00372745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1320193,"about_ca_topic_score_gemma":0.1407807,"domain_scores_codex":[0.9992059,0.0001018183,0.0001085346,0.0002263522,0.0002583382,0.00009904186],"domain_scores_gemma":[0.9976912,0.0002622116,0.000227114,0.0002348637,0.001434422,0.0001501599],"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":[0.000006761084,0.000005149393,0.0006822289,0.0001022646,0.000006796576,0.000006531754,0.00001110661,0.00004236435,0.000007156447,0.0002208652,0.9974552,0.001453607],"study_design_scores_gemma":[0.0000593865,0.000006736702,0.01459341,0.00030269,0.00001900552,0.00002907718,0.0001843782,0.0001888797,0.00006242943,0.0004776402,0.9840608,0.00001557555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001228475,0.00005397869,0.00004414516,0.00004794682,0.00001496148,0.000008829325,0.9983214,0.00004528423,0.001340594],"genre_scores_gemma":[0.0005776588,0.0001496269,0.0001502234,0.00003975262,0.00001200931,0.0001067765,0.9959928,0.00003805087,0.002933084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1320193,"threshold_uncertainty_score":0.2748507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147441318171679,"score_gpt":0.1728552878165804,"score_spread":0.1581111559994125,"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."}}