{"id":"W7131282523","doi":"10.25549/wpacards-ouc11554231","title":"WPA household census for 566 1/2 S 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; 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":[0.0007187106,0.00125275,0.001071406,0.003164655,0.0005762695,0.00188589,0.001388403,0.0005356756,0.0836941],"category_scores_gemma":[0.004329906,0.000647318,0.0005677327,0.009208639,0.000181429,0.001229745,0.0009541915,0.001446595,0.09491037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994751,"about_ca_system_score_gemma":0.003819318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1331319,"about_ca_topic_score_gemma":0.141971,"domain_scores_codex":[0.9991648,0.0001016273,0.0001092305,0.0002336764,0.0002869749,0.0001037213],"domain_scores_gemma":[0.9975799,0.0002867685,0.0002318569,0.0002723479,0.001460603,0.0001685778],"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":[0.000006579423,0.00000546208,0.0006420398,0.0001041813,0.000006186987,0.000005599006,0.00001118163,0.00004311659,0.000007997964,0.0002143403,0.9973702,0.001582961],"study_design_scores_gemma":[0.00005603271,0.000006651001,0.01515873,0.0003111351,0.00001710522,0.0000243296,0.0001634008,0.0001892042,0.00007174243,0.0003921881,0.9835944,0.00001497292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001219616,0.00004823705,0.00004284735,0.00004572911,0.00001443123,0.000009139534,0.9982748,0.00004721023,0.001395666],"genre_scores_gemma":[0.0005664403,0.0001458882,0.0001726401,0.0000392448,0.00001160595,0.0001155283,0.9956012,0.00004304734,0.00330437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1331319,"threshold_uncertainty_score":0.2799847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331342483723991,"score_gpt":0.1720931284861971,"score_spread":0.1587797036489572,"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."}}