{"id":"W7131279337","doi":"10.25549/wpacards-ouc11580044","title":"WPA household census for 206 SOUTH HERBERT 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":[0.0006985159,0.001213033,0.001093558,0.003149786,0.0005894683,0.001909142,0.001448597,0.000527533,0.07912907],"category_scores_gemma":[0.004401926,0.0006022591,0.00054378,0.00923071,0.0001822732,0.001273564,0.0009398781,0.001546864,0.09026904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881232,"about_ca_system_score_gemma":0.003714592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1271594,"about_ca_topic_score_gemma":0.1321235,"domain_scores_codex":[0.9991892,0.0001028338,0.0001121117,0.0002307454,0.0002665876,0.00009856803],"domain_scores_gemma":[0.9974909,0.0002961844,0.0002544618,0.0002519889,0.001541342,0.0001651128],"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":[0.000006878096,0.000005258448,0.0006633375,0.0001049981,0.000007149156,0.000006327324,0.00001041666,0.00004103487,0.000007158305,0.0002261926,0.9974697,0.001451561],"study_design_scores_gemma":[0.00006582761,0.000006940343,0.01509604,0.0003182307,0.00002017839,0.00002967567,0.0001678257,0.0001985014,0.00006464724,0.0005032289,0.9835123,0.00001660924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001080934,0.00005304165,0.00004093624,0.00004895279,0.00001573584,0.000008928375,0.9984714,0.00004262716,0.001210284],"genre_scores_gemma":[0.000536575,0.0001509042,0.0001509698,0.00004294145,0.00001307726,0.0001063208,0.9962997,0.00003672084,0.002662818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1271594,"threshold_uncertainty_score":0.2647131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400479925202894,"score_gpt":0.1730954492689418,"score_spread":0.1590906500169129,"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."}}