{"id":"W7131307252","doi":"10.25549/wpacards-ouc11587793","title":"WPA household census for 1311 1/2 MORROW PL, 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":[0.0006463176,0.001306809,0.001081406,0.003234035,0.0006225013,0.001961831,0.001407428,0.0005388331,0.09314516],"category_scores_gemma":[0.004060423,0.0007063416,0.0005920517,0.01007351,0.0001844906,0.001193454,0.0009453322,0.001458224,0.1047442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185631,"about_ca_system_score_gemma":0.004000092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1462393,"about_ca_topic_score_gemma":0.1663884,"domain_scores_codex":[0.9992059,0.00009873875,0.0001068511,0.0002237275,0.0002613305,0.0001034911],"domain_scores_gemma":[0.9977636,0.000251929,0.0002317347,0.0002552986,0.001332848,0.0001646157],"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":[0.000008362068,0.000006706352,0.000772375,0.0001176874,0.000007149639,0.000006273558,0.00001304159,0.00005135947,0.000009527857,0.0002055653,0.9971936,0.001608342],"study_design_scores_gemma":[0.00006176387,0.000007794319,0.01849548,0.0003126965,0.00001863003,0.00002491077,0.0001871305,0.000218729,0.00007708498,0.0004033654,0.9801758,0.0000165433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001288162,0.00004460511,0.00003755013,0.00003649009,0.00001283341,0.00001025476,0.9983972,0.00003977925,0.001292557],"genre_scores_gemma":[0.0005178254,0.0001231341,0.0001407152,0.00002980145,0.000009629401,0.0001194644,0.9959116,0.00003768111,0.003110141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1462393,"threshold_uncertainty_score":0.3116016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481465013659012,"score_gpt":0.173894867799247,"score_spread":0.1590802176626569,"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."}}