{"id":"W7131240644","doi":"10.25549/wpacards-ouc11586660","title":"WPA household census for 630 FETTERLY 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":[0.0006664917,0.001194052,0.001039659,0.003067042,0.000572105,0.001853863,0.001354607,0.0005219586,0.06791371],"category_scores_gemma":[0.004254324,0.0005634229,0.0005350074,0.008512933,0.0001894905,0.001179549,0.0009253769,0.001438008,0.08543369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801236,"about_ca_system_score_gemma":0.003423849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1321545,"about_ca_topic_score_gemma":0.1503047,"domain_scores_codex":[0.999241,0.0000975963,0.0001037986,0.000222304,0.000247297,0.00008809763],"domain_scores_gemma":[0.9976633,0.0002666877,0.0002281303,0.0002478646,0.001438165,0.0001560047],"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":[0.000007005194,0.000005575146,0.0007835366,0.00009650178,0.000007157038,0.000006491628,0.00001000223,0.00004545589,0.000007317936,0.0001928221,0.9974148,0.001423274],"study_design_scores_gemma":[0.00006986325,0.000007224154,0.01618606,0.000305768,0.00002035752,0.00003112621,0.0001669131,0.0002351102,0.00007158314,0.0005103736,0.9823778,0.00001772584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001243131,0.00004956317,0.00004142789,0.00004652256,0.000014123,0.00000748903,0.9986443,0.00004512046,0.00102718],"genre_scores_gemma":[0.000518162,0.000123237,0.0001342608,0.0000350152,0.00001075277,0.00008493358,0.9968418,0.00003277509,0.002219061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1321545,"threshold_uncertainty_score":0.2627706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345783655731386,"score_gpt":0.1723992299958803,"score_spread":0.1589413934385664,"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."}}