{"id":"W7131293120","doi":"10.25549/wpacards-c8-128229","title":"WPA household census for 10764 OCEAN PARK 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; 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":[0.0006919114,0.001239729,0.001107932,0.003114723,0.0005734477,0.001880156,0.001413473,0.0005449605,0.092332],"category_scores_gemma":[0.004363436,0.0006156904,0.0005503975,0.009070775,0.0001861397,0.001348726,0.0009878908,0.001510528,0.1036476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798372,"about_ca_system_score_gemma":0.003576582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1168607,"about_ca_topic_score_gemma":0.1200285,"domain_scores_codex":[0.9991696,0.0001098499,0.0001173397,0.0002341363,0.0002660338,0.0001030165],"domain_scores_gemma":[0.9975501,0.0002943918,0.0002501975,0.0002539157,0.001492177,0.000159228],"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":[0.000006361143,0.00000501247,0.000641404,0.0001031303,0.000006800082,0.000006006595,0.000009794388,0.00004112399,0.000006530738,0.0002227146,0.9974903,0.001460792],"study_design_scores_gemma":[0.0000596385,0.000006531216,0.01301029,0.0003028439,0.00001882881,0.0000276711,0.0001578891,0.0001883462,0.00005817946,0.0004911051,0.9856631,0.00001546338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001051427,0.00005144132,0.00004142104,0.00005084488,0.00001597421,0.000008813683,0.9983839,0.00004405821,0.0012984],"genre_scores_gemma":[0.000534215,0.0001446162,0.0001449922,0.00004306822,0.00001291082,0.0001050584,0.9961371,0.0000386953,0.002839346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1168607,"threshold_uncertainty_score":0.3088813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363468780765025,"score_gpt":0.1728592836426029,"score_spread":0.1592245958349526,"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."}}