{"id":"W7131244490","doi":"10.25549/wpacards-c8-141368","title":"WPA household census for 4969 TELEGRAPH RD, 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":[0.000617019,0.001240606,0.00103551,0.003303587,0.0005777607,0.001856344,0.001341697,0.0005203084,0.1025638],"category_scores_gemma":[0.003924046,0.0005903325,0.0005289423,0.009464446,0.000178454,0.001316529,0.0008859463,0.001462551,0.1072073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842146,"about_ca_system_score_gemma":0.003524571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1215033,"about_ca_topic_score_gemma":0.1260713,"domain_scores_codex":[0.9992099,0.00009959626,0.0001075389,0.0002316613,0.0002540977,0.00009723235],"domain_scores_gemma":[0.9977981,0.0002610796,0.0002280821,0.0002326193,0.001335294,0.0001448322],"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":[0.000006338764,0.000005205171,0.0005947263,0.0001018834,0.000006150834,0.00000589708,0.000009866796,0.00004205854,0.000007099803,0.0002270864,0.9974698,0.001523839],"study_design_scores_gemma":[0.00005359618,0.000006529314,0.01289074,0.0002800021,0.00001778918,0.00002564053,0.0001536045,0.0001836817,0.00005622367,0.0004434126,0.9858742,0.00001457235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001155159,0.00005418315,0.00004295586,0.00004826236,0.00001603433,0.000009712538,0.998054,0.00004674065,0.001612548],"genre_scores_gemma":[0.000582082,0.0001621884,0.0001581503,0.00004467532,0.00001405515,0.00011596,0.9951938,0.00004045864,0.003688641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1215033,"threshold_uncertainty_score":0.3431101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300135558593384,"score_gpt":0.1713701051482802,"score_spread":0.1583687495623464,"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."}}