{"id":"W7131303261","doi":"10.25549/wpacards-c8-137330","title":"WPA household census for 1725 134TH PL, 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":[0.0006533773,0.001305794,0.001080357,0.003693274,0.0006346122,0.001952036,0.001400417,0.0005298803,0.09615183],"category_scores_gemma":[0.004363507,0.0006319748,0.000559308,0.01054588,0.0001958037,0.00126262,0.0009558133,0.001445894,0.1115564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962199,"about_ca_system_score_gemma":0.003838868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1356875,"about_ca_topic_score_gemma":0.1481721,"domain_scores_codex":[0.9992012,0.0001027677,0.0001164437,0.0002246801,0.000253046,0.0001018844],"domain_scores_gemma":[0.9977881,0.0002444896,0.0002180962,0.0002341156,0.001370285,0.0001448987],"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":[0.000007100525,0.00000496713,0.0006034042,0.0001131755,0.000006340563,0.000006248814,0.00001158357,0.00004193585,0.00000773829,0.000212089,0.997538,0.001447563],"study_design_scores_gemma":[0.0000541409,0.000006538095,0.01270748,0.0002765578,0.00001679917,0.00002620651,0.0001752044,0.0001577466,0.00005631068,0.0004375235,0.9860709,0.00001454895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001138058,0.00005435903,0.00003808272,0.00004296316,0.00001609741,0.000009299786,0.9982875,0.00004758188,0.001390328],"genre_scores_gemma":[0.0005119667,0.0001399299,0.0001317332,0.00003727318,0.00001181968,0.0001082771,0.9959234,0.00003919578,0.003096349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1356875,"threshold_uncertainty_score":0.3216599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433930884872216,"score_gpt":0.173997264136047,"score_spread":0.1596579552873249,"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."}}