{"id":"W7131294170","doi":"10.25549/wpacards-ouc11583366","title":"WPA household census for 616 N GIBSON 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); 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":[0.0006318159,0.00123333,0.0010964,0.003277567,0.0005849408,0.001803949,0.001383583,0.0005180785,0.08176684],"category_scores_gemma":[0.004211038,0.0005998805,0.0005384979,0.009698803,0.0001811206,0.001241543,0.0009284831,0.001464348,0.08925404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807098,"about_ca_system_score_gemma":0.003658876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1418646,"about_ca_topic_score_gemma":0.1492059,"domain_scores_codex":[0.9992045,0.000100806,0.0001125317,0.0002256725,0.000259078,0.0000974563],"domain_scores_gemma":[0.9977156,0.0002588746,0.0002271235,0.0002277164,0.001417249,0.0001534258],"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":[0.000006661842,0.000004770631,0.000651914,0.0001090864,0.000006891756,0.000006307522,0.00001070986,0.00004249803,0.000006851727,0.0002178521,0.9974348,0.001501648],"study_design_scores_gemma":[0.00005833523,0.000006568217,0.01489915,0.0003222046,0.00001894122,0.00002813039,0.0001696287,0.0001970405,0.00005616328,0.000496382,0.983732,0.00001538327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001171412,0.00006012919,0.00004342507,0.00005159083,0.00001568429,0.000009027196,0.9982811,0.00004376127,0.001378166],"genre_scores_gemma":[0.0005780751,0.0001634869,0.0001501132,0.00004284905,0.00001284675,0.0001076139,0.9958726,0.00003778889,0.003034703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1418646,"threshold_uncertainty_score":0.2820776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148294373715958,"score_gpt":0.1767171246856036,"score_spread":0.1618876873140078,"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."}}