{"id":"W7131311869","doi":"10.25549/wpacards-ouc11548499","title":"WPA household census for 6530 MARLOW 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":[],"consensus_categories":[],"category_scores_codex":[0.0006892531,0.001217297,0.001103843,0.003099934,0.0005650745,0.001900863,0.001393344,0.0005318234,0.08864339],"category_scores_gemma":[0.00426308,0.0005982732,0.0005422935,0.00902738,0.0001797889,0.001292341,0.0009532883,0.001469009,0.09928823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845669,"about_ca_system_score_gemma":0.003657184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1215521,"about_ca_topic_score_gemma":0.1254121,"domain_scores_codex":[0.9991783,0.0001060403,0.0001145448,0.0002321832,0.0002684528,0.0001003906],"domain_scores_gemma":[0.997544,0.0002810613,0.0002458222,0.0002483641,0.001520359,0.0001603554],"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":[0.000006794528,0.000005133643,0.0006426111,0.0001085639,0.000006770672,0.000006165496,0.00001055103,0.00004229742,0.000007131824,0.0002270378,0.9973781,0.001558771],"study_design_scores_gemma":[0.00006125819,0.000006704835,0.01357524,0.0003102545,0.00001854256,0.00002701448,0.0001596179,0.0001889478,0.00005846558,0.0004735069,0.985105,0.00001565443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001100395,0.00005677183,0.00004352299,0.00005156554,0.00001588969,0.000009410111,0.9983239,0.00004668761,0.001342163],"genre_scores_gemma":[0.000562413,0.0001598653,0.0001534518,0.00004433804,0.00001305091,0.0001121967,0.9958657,0.00003997918,0.003048975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1215521,"threshold_uncertainty_score":0.2965418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347802823147812,"score_gpt":0.17150566362641,"score_spread":0.1580276353949319,"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."}}