{"id":"W7131248505","doi":"10.25549/wpacards-ouc11587858","title":"WPA household census for 1327 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":[0.0005768311,0.001172017,0.000997284,0.003270437,0.0005723363,0.001761928,0.001235182,0.0004766624,0.08634097],"category_scores_gemma":[0.003933686,0.0005849843,0.0005303788,0.009736095,0.0001722727,0.001130386,0.0009087118,0.001343377,0.0941873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866264,"about_ca_system_score_gemma":0.00365122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1340931,"about_ca_topic_score_gemma":0.1521331,"domain_scores_codex":[0.9992913,0.00008827859,0.0001009812,0.000199736,0.0002304956,0.00008912673],"domain_scores_gemma":[0.9979581,0.0002155217,0.0002157958,0.0002131404,0.001258137,0.0001392893],"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":[0.000007938471,0.000005424357,0.0007709996,0.0001214099,0.000007443833,0.000006955003,0.00001282518,0.0000472057,0.000008969528,0.0002247902,0.9971563,0.001629735],"study_design_scores_gemma":[0.00005227636,0.000006687214,0.01568758,0.0002923585,0.00001794738,0.00002661199,0.0001748468,0.0001778345,0.00006026241,0.0004227754,0.9830663,0.0000145907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001341731,0.00005535705,0.00003915431,0.00004195316,0.00001434835,0.00000927551,0.9982924,0.00004332256,0.001370032],"genre_scores_gemma":[0.0005744553,0.0001460876,0.0001363673,0.00003487413,0.00001115895,0.0001097038,0.9959041,0.00003678149,0.003046458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1340931,"threshold_uncertainty_score":0.2888393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459226233121797,"score_gpt":0.1743962305942834,"score_spread":0.1598039682630654,"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."}}