{"id":"W7131316458","doi":"10.25549/wpacards-c8-162081","title":"WPA household census for 662 SOUTH WOODS 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":[0.0006826613,0.001258538,0.001076645,0.003320196,0.0005853198,0.001886722,0.001399296,0.0005178122,0.08685976],"category_scores_gemma":[0.004292221,0.0006073962,0.0005524734,0.009857663,0.0001867982,0.001294255,0.0009255859,0.00149358,0.1008904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800796,"about_ca_system_score_gemma":0.003648636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.122329,"about_ca_topic_score_gemma":0.1287229,"domain_scores_codex":[0.999184,0.0001051038,0.0001171622,0.0002294315,0.0002670079,0.00009730051],"domain_scores_gemma":[0.9975854,0.000279733,0.0002413515,0.000245963,0.001492073,0.0001553591],"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":[0.000006719909,0.000005193961,0.0006591103,0.0001105404,0.000006826962,0.00000667693,0.00001109104,0.00004244959,0.000007130509,0.0002187297,0.9974215,0.001504136],"study_design_scores_gemma":[0.00005801312,0.000006594925,0.01427084,0.0003100311,0.00001872934,0.0000294868,0.0001723803,0.0001787724,0.00005765324,0.0004749548,0.9844068,0.00001568126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001121393,0.00005575009,0.00004237604,0.000047422,0.00001535378,0.00000873538,0.9983777,0.00004411705,0.001296402],"genre_scores_gemma":[0.0005460193,0.0001603857,0.00014764,0.00004001468,0.00001282796,0.0001072034,0.9960619,0.00003910862,0.002884942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.122329,"threshold_uncertainty_score":0.2905748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522847593112906,"score_gpt":0.1768444863843341,"score_spread":0.161616010453205,"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."}}