{"id":"W7131235797","doi":"10.25549/wpacards-ouc11588131","title":"WPA household census for 1430 MCDONNELL 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); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007006103,0.001166548,0.001050276,0.003226175,0.0005880648,0.001878206,0.001417336,0.0005216025,0.07618992],"category_scores_gemma":[0.004516601,0.0005753732,0.0005363541,0.008972487,0.0001880786,0.00120182,0.0009509528,0.001456609,0.08549955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924681,"about_ca_system_score_gemma":0.003648222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1388264,"about_ca_topic_score_gemma":0.1581395,"domain_scores_codex":[0.9991454,0.0001085448,0.0001134804,0.0002514075,0.0002838504,0.0000972601],"domain_scores_gemma":[0.997498,0.0002922441,0.000250925,0.0002683082,0.001528858,0.0001616615],"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":[0.00000684873,0.000005354381,0.0007751079,0.0001007315,0.000007084391,0.000006128399,0.00001028764,0.00004433694,0.000007342922,0.0002297766,0.9972818,0.001525115],"study_design_scores_gemma":[0.0000605235,0.000006238082,0.01462195,0.0002915197,0.00001843551,0.0000269886,0.0001480271,0.0002103636,0.00006388033,0.0005081201,0.9840279,0.00001595535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001147459,0.00005164145,0.00004474928,0.00004790163,0.00001396986,0.00000799033,0.9985263,0.00004383134,0.001148776],"genre_scores_gemma":[0.0005229957,0.0001246475,0.0001518921,0.00003968915,0.00001082635,0.00008613274,0.9965814,0.00003436022,0.002447931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9238101,"threshold_uncertainty_score":0.2760366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480660367352891,"score_gpt":0.1719736310819054,"score_spread":0.1571670274083765,"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."}}