{"id":"W7131216027","doi":"10.25549/wpacards-ouc11583658","title":"WPA household census for 3256 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; 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":[0.0006025508,0.001164284,0.0009586507,0.003098744,0.000535515,0.001651001,0.001260813,0.0005056848,0.06884918],"category_scores_gemma":[0.003722626,0.0005268774,0.0005212565,0.008533278,0.0001673418,0.001045585,0.0008495107,0.001297386,0.08320741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645931,"about_ca_system_score_gemma":0.003183098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1244309,"about_ca_topic_score_gemma":0.1449276,"domain_scores_codex":[0.9993086,0.0000916516,0.00009109156,0.0002031947,0.0002239204,0.00008152104],"domain_scores_gemma":[0.9980779,0.0002286153,0.0002061793,0.0002146937,0.001140816,0.0001318175],"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":[0.000007665965,0.000005759355,0.0008825219,0.0001021766,0.000007725721,0.000006957066,0.00001128057,0.00005243425,0.000008534746,0.000206845,0.9971534,0.001554688],"study_design_scores_gemma":[0.00006361101,0.000006810119,0.01642036,0.0002849562,0.00002056099,0.00003020916,0.0001720875,0.0002363341,0.00007019769,0.0004696501,0.9822097,0.00001557651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001528606,0.00005613776,0.00004180079,0.00004949469,0.00001425217,0.000007187812,0.9985617,0.00004381626,0.001072733],"genre_scores_gemma":[0.0005908358,0.0001312094,0.0001223319,0.00003631828,0.00001139599,0.00008477909,0.9964881,0.00003042803,0.002504656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1244309,"threshold_uncertainty_score":0.2474133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536246507012498,"score_gpt":0.1780921666050785,"score_spread":0.1627297015349536,"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."}}