{"id":"W7131251599","doi":"10.25549/wpacards-ouc11572314","title":"WPA household census for 4958 SLAUSON AVE, 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; American Community Survey; Administration (probate law); 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":[0.0006386586,0.001187682,0.001023266,0.003160572,0.0005756173,0.001853115,0.001344638,0.0005217141,0.08435362],"category_scores_gemma":[0.004042247,0.0005990318,0.000513228,0.009130196,0.0001836033,0.001279293,0.0009408852,0.001432301,0.09615042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801957,"about_ca_system_score_gemma":0.003452867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1238373,"about_ca_topic_score_gemma":0.1307844,"domain_scores_codex":[0.9992317,0.00009709557,0.0001024986,0.0002233293,0.0002482517,0.00009716801],"domain_scores_gemma":[0.9977017,0.0002645016,0.0002314276,0.0002426421,0.001405176,0.0001544487],"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":[0.000006618151,0.000005157526,0.0006693546,0.000096244,0.000006171437,0.000006242041,0.00001081844,0.00004156444,0.000007360135,0.0002187749,0.9974522,0.001479598],"study_design_scores_gemma":[0.00005997461,0.000006554279,0.01442045,0.0002847957,0.00001731192,0.00002828362,0.0001729351,0.0001937903,0.00006382942,0.0004619826,0.9842748,0.00001521651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000124971,0.00005211796,0.00004112581,0.0000481461,0.00001477068,0.000008680521,0.9983406,0.00004717796,0.00132234],"genre_scores_gemma":[0.0005843677,0.0001413194,0.0001455158,0.00003996396,0.00001206627,0.0001029778,0.995986,0.00003720513,0.002950385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9156464,"threshold_uncertainty_score":0.282191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447899564430475,"score_gpt":0.1762019547008367,"score_spread":0.161722959056532,"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."}}