{"id":"W7131307417","doi":"10.25549/wpacards-c8-151590","title":"WPA household census for 6634 CHANSLOR 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; 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":[0.0006619804,0.001205096,0.001028108,0.003054968,0.0005636968,0.001843056,0.001314682,0.0005097426,0.0767049],"category_scores_gemma":[0.004081149,0.0005630557,0.0005311152,0.008405276,0.0001814814,0.001201749,0.0009097669,0.001408834,0.08961346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764924,"about_ca_system_score_gemma":0.00345267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1262292,"about_ca_topic_score_gemma":0.1417124,"domain_scores_codex":[0.99924,0.00009930212,0.0001005232,0.0002243898,0.0002474551,0.00008829655],"domain_scores_gemma":[0.9977124,0.0002656864,0.0002287559,0.000244593,0.00139449,0.0001541198],"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":[0.000006966689,0.000005459077,0.0007647254,0.00009801459,0.000006923109,0.00000626087,0.000010464,0.00004573489,0.000007115459,0.0002054794,0.9972802,0.001562589],"study_design_scores_gemma":[0.00006546766,0.000006838287,0.01512524,0.0002997101,0.00001941324,0.00002863749,0.0001648966,0.0002238467,0.00006471684,0.0004770281,0.9835081,0.00001618708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001269718,0.00005339893,0.00004295511,0.00005000136,0.00001439464,0.000007929379,0.9984803,0.00004649811,0.001177635],"genre_scores_gemma":[0.0005648055,0.0001389969,0.0001434768,0.00003772744,0.00001145621,0.00009463345,0.9962787,0.00003523103,0.00269496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1262292,"threshold_uncertainty_score":0.2566035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155562091849733,"score_gpt":0.175154686177171,"score_spread":0.1595984769921977,"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."}}