{"id":"W7131311999","doi":"10.25549/wpacards-c8-157960","title":"WPA household census for 200 SOUTH HICKS STREET, 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":[0.00064299,0.00114158,0.001025507,0.003119129,0.0005666235,0.001835144,0.001386497,0.0004870867,0.07256453],"category_scores_gemma":[0.003929716,0.0005681818,0.0005031339,0.008867411,0.0001778714,0.001179956,0.0009307661,0.001418827,0.07749736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799775,"about_ca_system_score_gemma":0.003468544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1387942,"about_ca_topic_score_gemma":0.153559,"domain_scores_codex":[0.9992746,0.00009457087,0.0001016208,0.0001996664,0.000237651,0.00009193621],"domain_scores_gemma":[0.9978683,0.0002462254,0.0002120193,0.0002233289,0.001299473,0.0001506358],"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":[0.000007416093,0.000005887642,0.0007788051,0.0001141093,0.00000763461,0.000007145085,0.00001324176,0.00004949126,0.000008234411,0.0002497658,0.9971479,0.001610419],"study_design_scores_gemma":[0.00006357918,0.000007344959,0.01857997,0.0003195665,0.00002033128,0.00003046149,0.0002008443,0.0002211732,0.0000712801,0.0005267902,0.979941,0.00001790011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001413037,0.00005433714,0.00004178903,0.00004419698,0.00001459646,0.000009512017,0.9984195,0.00004363485,0.0012312],"genre_scores_gemma":[0.0005888446,0.0001444827,0.0001494138,0.00003704813,0.00001117649,0.0001072435,0.9963971,0.00003568491,0.002528963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1387942,"threshold_uncertainty_score":0.2759726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457436048977034,"score_gpt":0.1739046277220493,"score_spread":0.1593302672322789,"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."}}