{"id":"W7131296417","doi":"10.25549/wpacards-c8-159211","title":"WPA household census for 3978 GLEASON ST, 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); American Community Survey; Data collection; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005827353,0.001092731,0.0009602116,0.003230007,0.0005360912,0.001658851,0.001284606,0.0004825221,0.0848019],"category_scores_gemma":[0.003850311,0.0005237552,0.0004731515,0.008961741,0.00016409,0.001137155,0.0008925935,0.001362229,0.08809204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702695,"about_ca_system_score_gemma":0.003408027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1336132,"about_ca_topic_score_gemma":0.1524427,"domain_scores_codex":[0.9992964,0.00008711164,0.00009316827,0.0001974334,0.0002350626,0.00009086919],"domain_scores_gemma":[0.9979889,0.0002237937,0.0002059713,0.0002096083,0.001237686,0.0001340761],"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":[0.000007036082,0.000005202266,0.0007429068,0.0001034648,0.000006997738,0.00000659533,0.00001184575,0.00004392262,0.000007848209,0.0002467115,0.9971421,0.001675217],"study_design_scores_gemma":[0.00005140051,0.000005920228,0.01463347,0.0002785624,0.00001694563,0.00002577365,0.0001650111,0.0001710917,0.00005975827,0.0004800748,0.9840981,0.00001381135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001375033,0.00005821376,0.00004321655,0.00005212877,0.00001476824,0.00000880571,0.9981382,0.00004419957,0.001502956],"genre_scores_gemma":[0.0006033139,0.00015426,0.0001407547,0.0000414971,0.00001210786,0.00009575811,0.9955522,0.00003719588,0.003362834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9151981,"threshold_uncertainty_score":0.2836906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434988525392481,"score_gpt":0.175500890841204,"score_spread":0.1611510055872792,"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."}}