{"id":"W7131228233","doi":"10.25549/wpacards-ouc11587459","title":"WPA household census for 5105 WHITTIER BLVD, 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; Sample (material); 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":[0.0006149655,0.001195048,0.001048261,0.002858313,0.0005554603,0.001885309,0.001306554,0.0005187538,0.0840094],"category_scores_gemma":[0.004019062,0.0005722184,0.0005309668,0.008439029,0.0001806071,0.001216892,0.00089833,0.001397843,0.09400648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790804,"about_ca_system_score_gemma":0.003347735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1253779,"about_ca_topic_score_gemma":0.142778,"domain_scores_codex":[0.9992092,0.00009774224,0.0001069158,0.0002421193,0.0002528456,0.0000911534],"domain_scores_gemma":[0.9978562,0.0002460872,0.0002195347,0.0002227394,0.001307633,0.0001476847],"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":[0.000007211904,0.00000549589,0.0007922027,0.0000961711,0.000006723753,0.000006027409,0.000009418249,0.00004460015,0.000007261289,0.0002062253,0.9972643,0.001554451],"study_design_scores_gemma":[0.00006984067,0.000007433746,0.01590219,0.000303592,0.00002039995,0.00002950935,0.0001630376,0.0002329773,0.00006805711,0.0005064499,0.9826805,0.00001600996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001351551,0.00005909821,0.00004629426,0.0000536271,0.00001631968,0.000008589308,0.9982535,0.00004923343,0.001378192],"genre_scores_gemma":[0.000609922,0.0001571179,0.0001408394,0.00004139381,0.00001366589,0.00009434292,0.9958026,0.00003606808,0.003104167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1253779,"threshold_uncertainty_score":0.2810395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135113517876827,"score_gpt":0.172695634096649,"score_spread":0.1591842823089663,"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."}}