{"id":"W7131286753","doi":"10.25549/wpacards-ouc11548291","title":"WPA household census for 6432 EL SELINDA 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; Administration (probate law); American Community Survey; 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":[0.0006431665,0.001233967,0.001031708,0.00328569,0.0005819782,0.001934466,0.001353185,0.0005390483,0.07952889],"category_scores_gemma":[0.004211432,0.0005759984,0.0005389587,0.009005492,0.0001906708,0.001267287,0.0009570144,0.001469216,0.09692964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825477,"about_ca_system_score_gemma":0.003452398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1210029,"about_ca_topic_score_gemma":0.1365432,"domain_scores_codex":[0.999208,0.00009940601,0.0001033436,0.0002353873,0.0002594075,0.00009433156],"domain_scores_gemma":[0.9976567,0.0002744004,0.000236217,0.0002575173,0.001415496,0.0001596342],"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":[0.000006532542,0.000005411346,0.0007037761,0.00009345488,0.000006400218,0.000006076254,0.00001058249,0.00004340571,0.000007332717,0.0002030579,0.9974651,0.001448814],"study_design_scores_gemma":[0.00005686276,0.000005857294,0.01293445,0.0002698301,0.00001661173,0.0000263852,0.0001592713,0.0001938545,0.00006327452,0.000461799,0.9857969,0.0000149534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001190022,0.00004968865,0.00004078076,0.00004761937,0.00001379579,0.000007716414,0.9984817,0.00004994472,0.001189785],"genre_scores_gemma":[0.0005157688,0.0001235221,0.0001396199,0.0000348619,0.00001056718,0.00008849392,0.9964873,0.00003606357,0.002563826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1210029,"threshold_uncertainty_score":0.2660507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398169307266049,"score_gpt":0.1807377596843671,"score_spread":0.1667560666117066,"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."}}