{"id":"W7131230099","doi":"10.25549/wpacards-ouc11588062","title":"WPA household census for 2328 1/2 BEDESSEN 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":[0.000680553,0.0012609,0.001009336,0.003095289,0.0005859352,0.001859597,0.001356565,0.0005223879,0.08225139],"category_scores_gemma":[0.004124325,0.0005950992,0.0005340913,0.009192838,0.0001861706,0.001176787,0.0009164966,0.001422555,0.0945594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933519,"about_ca_system_score_gemma":0.00352146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291383,"about_ca_topic_score_gemma":0.1426248,"domain_scores_codex":[0.9992111,0.0001016333,0.0001037043,0.0002219761,0.0002647715,0.00009675074],"domain_scores_gemma":[0.9977295,0.0002748411,0.0002309578,0.0002529792,0.001350033,0.0001616253],"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":[0.000006545977,0.000005597389,0.000665177,0.00009014132,0.000006023918,0.000005667935,0.00001041407,0.00004410255,0.000007575152,0.000189587,0.9975853,0.001383911],"study_design_scores_gemma":[0.0000634805,0.000006823722,0.01510345,0.0002766724,0.00001800401,0.00002597673,0.0001784775,0.0002094065,0.00007374267,0.0004384817,0.9835899,0.00001552412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001283641,0.00004304705,0.00003936956,0.00004484325,0.00001293006,0.000008187305,0.9984766,0.00004527261,0.00120133],"genre_scores_gemma":[0.0005745171,0.0001190066,0.0001524302,0.00003456468,0.00001062506,0.0001033213,0.9961947,0.00003673613,0.002774036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1291383,"threshold_uncertainty_score":0.2751583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462879944563454,"score_gpt":0.1774746278987279,"score_spread":0.1628458284530934,"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."}}