{"id":"W7131288703","doi":"10.25549/wpacards-ouc11580242","title":"WPA household census for 124 SOUTH DICKERSON STREET, 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); Value (mathematics); American Community Survey","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":[0.0006709651,0.001182273,0.001032593,0.00329366,0.0005833204,0.001865119,0.001365404,0.0004966325,0.08428081],"category_scores_gemma":[0.004195913,0.0005706966,0.0005059646,0.009598109,0.0001809316,0.001232994,0.0009180134,0.001408571,0.09068349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813775,"about_ca_system_score_gemma":0.003590239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1270545,"about_ca_topic_score_gemma":0.1409364,"domain_scores_codex":[0.9991882,0.0001046813,0.0001141315,0.0002285206,0.0002668239,0.00009761182],"domain_scores_gemma":[0.9976769,0.0002663888,0.0002398635,0.0002443235,0.001414896,0.0001576256],"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":[0.000006910569,0.000005350443,0.0007126278,0.0001091391,0.000006974567,0.000006461213,0.00001191571,0.00004309376,0.000007916715,0.0002413072,0.9973136,0.00153476],"study_design_scores_gemma":[0.00005520425,0.000006486887,0.0158109,0.0002922749,0.00001807863,0.00002860492,0.0001709176,0.0001793751,0.00006217029,0.0004804646,0.9828797,0.00001576836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001199493,0.00005326503,0.00004300947,0.00004469319,0.00001487542,0.000009324419,0.9983272,0.00004345093,0.001344196],"genre_scores_gemma":[0.0005543433,0.0001466692,0.0001509599,0.00003908232,0.00001202959,0.0001038035,0.9960957,0.00003801599,0.002859362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1270545,"threshold_uncertainty_score":0.2819474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503993088278783,"score_gpt":0.1747224830629676,"score_spread":0.1596825521801798,"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."}}