{"id":"W7131214434","doi":"10.25549/wpacards-c8-155782","title":"WPA household census for 4946 EAGLE ST, 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; Eagle","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":[0.0006337871,0.001135958,0.001019555,0.003087504,0.0005519523,0.001778435,0.001315425,0.0005046199,0.09121508],"category_scores_gemma":[0.003788681,0.0005586649,0.0005164357,0.008737704,0.00017145,0.001228668,0.0008897404,0.001357443,0.09658998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756832,"about_ca_system_score_gemma":0.003362107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1247791,"about_ca_topic_score_gemma":0.1326788,"domain_scores_codex":[0.9992446,0.0001021098,0.000105745,0.0002086083,0.0002459978,0.00009296872],"domain_scores_gemma":[0.9978763,0.000244957,0.0002171048,0.0002206064,0.001301476,0.0001396115],"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":[0.000006806344,0.000005096803,0.000689147,0.0001076289,0.000006717874,0.000006650451,0.0000117947,0.00004348915,0.000007303694,0.000237829,0.997225,0.001652558],"study_design_scores_gemma":[0.00005360985,0.000006213904,0.0139853,0.0002905532,0.00001723418,0.00002744201,0.0001704111,0.0001834584,0.00005663927,0.0004569067,0.9847376,0.00001457914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001329538,0.00006167703,0.00004719476,0.00005422783,0.00001717353,0.000009973714,0.9980277,0.00004623063,0.001602726],"genre_scores_gemma":[0.0006384065,0.0001745329,0.0001608593,0.00004674706,0.00001419549,0.0001181255,0.9950259,0.0000400112,0.003781116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1247791,"threshold_uncertainty_score":0.3051448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483290967907108,"score_gpt":0.17524109183209,"score_spread":0.1604081821530189,"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."}}