{"id":"W7131218443","doi":"10.25549/wpacards-ouc11547663","title":"WPA household census for 5852 GAGE 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; 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":[0.0006679001,0.001205892,0.001067829,0.003148056,0.0005762041,0.001887212,0.001383192,0.0005388313,0.08929651],"category_scores_gemma":[0.004278804,0.0006090024,0.0005268149,0.009024419,0.0001876018,0.001316771,0.0009372223,0.001480751,0.1015181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178127,"about_ca_system_score_gemma":0.003448381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1191048,"about_ca_topic_score_gemma":0.1253099,"domain_scores_codex":[0.9991859,0.000103668,0.0001107479,0.0002395233,0.0002629866,0.00009719552],"domain_scores_gemma":[0.9975694,0.0002843009,0.0002390494,0.0002535153,0.001499003,0.0001547752],"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":[0.000006489043,0.000005195895,0.0006450416,0.00009899464,0.000006339619,0.000005987058,0.00001018943,0.00004149323,0.000006962284,0.0002183829,0.9974807,0.001474219],"study_design_scores_gemma":[0.00006143967,0.000006573182,0.0134702,0.0002858536,0.00001764153,0.00002759699,0.0001613735,0.0001904779,0.00005858898,0.0004665716,0.9852383,0.00001546102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001095935,0.00004987919,0.00004088093,0.00004914974,0.00001506709,0.000008560939,0.9983783,0.00004647966,0.001302151],"genre_scores_gemma":[0.0005559371,0.0001406908,0.0001512317,0.00004175582,0.00001236532,0.000106313,0.9959941,0.00003841092,0.002959129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1191048,"threshold_uncertainty_score":0.2987266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484787467520861,"score_gpt":0.1747647984657592,"score_spread":0.1599169237905505,"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."}}