{"id":"W7131309708","doi":"10.25549/wpacards-c8-160650","title":"WPA household census for 3236 SAN MIGUEL ST, 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","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":[0.0006108042,0.001172112,0.0009732377,0.003094928,0.0005408665,0.001674035,0.001283035,0.0005068905,0.06977315],"category_scores_gemma":[0.003828999,0.0005202437,0.0005199666,0.008580361,0.0001700029,0.001062238,0.0008486426,0.001312341,0.0844307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651854,"about_ca_system_score_gemma":0.003169912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1231715,"about_ca_topic_score_gemma":0.1445387,"domain_scores_codex":[0.9992965,0.00009345305,0.00009335775,0.0002072574,0.0002276531,0.00008168747],"domain_scores_gemma":[0.9980016,0.0002382361,0.0002097947,0.0002233858,0.001191618,0.000135372],"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":[0.000007350397,0.000005605069,0.0008340033,0.00009810292,0.000007464263,0.000006622209,0.00001074932,0.00005009962,0.00000824593,0.0002022213,0.9972627,0.001506959],"study_design_scores_gemma":[0.00006401841,0.000006665135,0.01558872,0.0002794247,0.00002012792,0.00002967585,0.0001677867,0.0002403113,0.0000702348,0.0004886566,0.9830289,0.00001558974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001441718,0.00005349034,0.00004241576,0.00004856016,0.00001414132,0.000007103502,0.9985903,0.00004433296,0.001055532],"genre_scores_gemma":[0.0005603327,0.0001254739,0.0001261209,0.00003487746,0.00001121169,0.00008318533,0.9966157,0.0000313315,0.002411655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1231715,"threshold_uncertainty_score":0.2449091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535184390134318,"score_gpt":0.1782179719649317,"score_spread":0.1628661280635885,"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."}}