{"id":"W7131265518","doi":"10.25549/wpacards-ouc11571922","title":"WPA household census for 2803 ATLANTIC BLVD, 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; Public use; 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":[0.0006593374,0.001236497,0.00109436,0.003127052,0.0005785757,0.001910085,0.001385794,0.0005304033,0.08892356],"category_scores_gemma":[0.004133748,0.0006107367,0.0005336771,0.00917413,0.0001857261,0.001263289,0.0009412824,0.001449832,0.09877563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893123,"about_ca_system_score_gemma":0.003726508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1293439,"about_ca_topic_score_gemma":0.1358863,"domain_scores_codex":[0.9991842,0.0001023493,0.000114142,0.0002379488,0.0002633659,0.00009800972],"domain_scores_gemma":[0.9977266,0.0002532667,0.000229775,0.0002239094,0.001415145,0.000151275],"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":[0.000006617253,0.000005213723,0.0006686762,0.00009883408,0.000006322434,0.000005757794,0.000009347784,0.00004030776,0.000006440558,0.0002136729,0.997471,0.001467881],"study_design_scores_gemma":[0.00006317654,0.000006855546,0.01424092,0.0003019824,0.00001916787,0.00002707781,0.0001633351,0.0002001264,0.0000583149,0.0004854339,0.9844185,0.00001507982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001215395,0.00006096436,0.000044861,0.00005807382,0.00001693886,0.000009750755,0.9981328,0.00004986526,0.001505309],"genre_scores_gemma":[0.0006077831,0.0001732788,0.0001523757,0.0000476484,0.00001514402,0.0001122,0.9954876,0.00004139141,0.003362577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1293439,"threshold_uncertainty_score":0.2974789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358776402349161,"score_gpt":0.1721347299183979,"score_spread":0.1585469658949063,"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."}}