{"id":"W7131210613","doi":"10.25549/wpacards-c8-159819","title":"WPA household census for 5368 EL SEGUNDO 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; 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":[0.0005791164,0.001214462,0.00100648,0.003228339,0.0005432726,0.001863609,0.00127677,0.0004707383,0.082763],"category_scores_gemma":[0.003519045,0.0005641626,0.0004927029,0.009299674,0.0001760257,0.00118435,0.0008353573,0.001321477,0.0920983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867916,"about_ca_system_score_gemma":0.003362976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1410266,"about_ca_topic_score_gemma":0.152754,"domain_scores_codex":[0.9992684,0.00009028566,0.00009614891,0.0002176093,0.0002394584,0.00008812793],"domain_scores_gemma":[0.9979843,0.000213292,0.0002177041,0.0001966723,0.001250604,0.0001374592],"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":[0.000006736403,0.000005767581,0.0008737209,0.00009453835,0.000006529009,0.000006279641,0.00001186373,0.00004301074,0.000007166242,0.0002013476,0.997074,0.001669013],"study_design_scores_gemma":[0.00005866716,0.000006887888,0.01864449,0.0002950531,0.00002022358,0.00002816369,0.0002049522,0.0002086697,0.00006526233,0.0004211803,0.980031,0.00001550551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001785806,0.00006824742,0.00004514498,0.00005288625,0.00001668821,0.000009745454,0.9979337,0.0000527599,0.001642234],"genre_scores_gemma":[0.0007730536,0.0001866181,0.0001556036,0.00003979896,0.00001512366,0.0001138722,0.9947007,0.00004074946,0.003974659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1410266,"threshold_uncertainty_score":0.2804114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362814268004264,"score_gpt":0.1782172789981425,"score_spread":0.1645891363180999,"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."}}