{"id":"W7131312491","doi":"10.25549/wpacards-c8-155884","title":"WPA household census for 670 S FORD 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006697486,0.001275911,0.001111545,0.003307379,0.0005896869,0.001959799,0.001405307,0.0005301233,0.0769898],"category_scores_gemma":[0.004229591,0.0006060947,0.0005440014,0.009204019,0.0001920044,0.00129734,0.0009171605,0.001464527,0.09639131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924922,"about_ca_system_score_gemma":0.003676313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1308065,"about_ca_topic_score_gemma":0.1470219,"domain_scores_codex":[0.9991953,0.00009848388,0.0001110731,0.0002372089,0.0002652814,0.00009281212],"domain_scores_gemma":[0.9975962,0.0002795699,0.0002341876,0.0002508688,0.001476318,0.0001628223],"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":[0.000006337756,0.000005082622,0.0006526827,0.00009414369,0.000006179646,0.00000574416,0.000008258396,0.00004141672,0.000006246964,0.0001862563,0.9975947,0.001393028],"study_design_scores_gemma":[0.00006432967,0.000006824228,0.0141484,0.0003087221,0.00001908753,0.00002868806,0.000145683,0.0002071294,0.00006181116,0.0004829398,0.9845102,0.00001615257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001090383,0.00005601776,0.00004034597,0.00004711261,0.00001535282,0.000007894127,0.9984982,0.00004619824,0.001179847],"genre_scores_gemma":[0.0004863759,0.0001521465,0.0001357572,0.00003823396,0.00001256108,0.0000867471,0.9965079,0.00003592608,0.002544334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9230102,"threshold_uncertainty_score":0.2600902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493127908574383,"score_gpt":0.1749452253952431,"score_spread":0.1600139463094993,"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."}}