{"id":"W7131281302","doi":"10.25549/wpacards-c8-137473","title":"WPA household census for 1328 1/2 SOUTH MAPLE AVE, Los Angeles","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); Value (mathematics); Variety (cybernetics)","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":[0.0006503627,0.001290223,0.001085962,0.003272393,0.0005560544,0.001934656,0.001480005,0.0005090815,0.08618424],"category_scores_gemma":[0.004068213,0.0006263971,0.0005642553,0.009118801,0.000188553,0.001287443,0.0009587466,0.001475671,0.09820345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064457,"about_ca_system_score_gemma":0.003453919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1485128,"about_ca_topic_score_gemma":0.1664591,"domain_scores_codex":[0.9992206,0.0000986555,0.0001044717,0.0002175715,0.000263518,0.00009525885],"domain_scores_gemma":[0.9976458,0.0002715655,0.0002469644,0.0002749192,0.001404311,0.0001564003],"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":[0.000006326376,0.000005662718,0.0006709715,0.0001054825,0.000006385444,0.000005917968,0.00001144462,0.00004174771,0.000006934085,0.0002064874,0.9974135,0.001519314],"study_design_scores_gemma":[0.00005701566,0.000006919727,0.01607516,0.0002932882,0.00001801769,0.0000269779,0.0001732075,0.0002161258,0.0000694378,0.0004227156,0.9826241,0.00001704793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001323424,0.00004991325,0.00004677334,0.00004616392,0.00001339001,0.000008664279,0.9982408,0.00005837798,0.001403518],"genre_scores_gemma":[0.0005622138,0.0001415618,0.0001612505,0.00003221763,0.00001093559,0.0001058751,0.9957423,0.00004183131,0.003201872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1485128,"threshold_uncertainty_score":0.2952968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587277783130982,"score_gpt":0.1735108968380628,"score_spread":0.157638119006753,"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."}}