{"id":"W7131313681","doi":"10.25549/wpacards-c8-156643","title":"WPA household census for 3607 WHITTIER BLVD, Los Angeles","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; Public use; Administration (probate law)","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":[0.0006615581,0.001258894,0.001156899,0.00319589,0.0005687681,0.002013824,0.001454099,0.0005173768,0.09541157],"category_scores_gemma":[0.004226451,0.0006529808,0.0005530076,0.008970075,0.0001900901,0.001374488,0.0009813883,0.001498953,0.09721677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076512,"about_ca_system_score_gemma":0.003858933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1538578,"about_ca_topic_score_gemma":0.1653434,"domain_scores_codex":[0.9991591,0.0001021113,0.0001181607,0.0002352018,0.0002807737,0.0001047599],"domain_scores_gemma":[0.9976692,0.0002452128,0.0002387989,0.0002418561,0.001450432,0.0001544346],"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":[0.000006915654,0.00000517642,0.0006453443,0.0001111511,0.000006379468,0.000005773767,0.00001029444,0.00003856816,0.00000614107,0.0002399807,0.9972758,0.001648611],"study_design_scores_gemma":[0.0000591327,0.000006831704,0.01394553,0.0003126703,0.00001773401,0.00002606422,0.000151622,0.0001854221,0.00005653863,0.0004476566,0.9847752,0.00001555523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001262573,0.00007326052,0.00005362564,0.00006046452,0.00001779129,0.00001132709,0.9977667,0.0000620883,0.001828361],"genre_scores_gemma":[0.0006331481,0.0002154566,0.000175345,0.00004476436,0.00001549688,0.0001225887,0.9944906,0.00004821615,0.004254366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1538578,"threshold_uncertainty_score":0.3191835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453298227595083,"score_gpt":0.1744608140994281,"score_spread":0.1599278318234773,"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."}}