{"id":"W7131278082","doi":"10.25549/wpacards-ouc11578358","title":"WPA household census for 3563 PERCY, Los Angeles","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); Value (mathematics); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005863774,0.001172978,0.001126838,0.003827686,0.0006323535,0.002014617,0.001450887,0.0004771916,0.1001466],"category_scores_gemma":[0.00401752,0.000634285,0.0006038749,0.01028724,0.0001974889,0.001310874,0.001093426,0.001441512,0.1004279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196446,"about_ca_system_score_gemma":0.003952528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1550351,"about_ca_topic_score_gemma":0.1661859,"domain_scores_codex":[0.9991409,0.0001094192,0.0001220168,0.0002325771,0.000290054,0.0001051905],"domain_scores_gemma":[0.9979132,0.0002162891,0.0002219323,0.0002408543,0.001272436,0.0001352888],"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":[0.000007691424,0.000005329147,0.0006740934,0.0001537381,0.000007880544,0.000007411853,0.00001792777,0.00004288778,0.000007799764,0.0002953249,0.9967603,0.002019616],"study_design_scores_gemma":[0.00004161636,0.000005328602,0.01288148,0.0002983194,0.00001523852,0.00002557653,0.0001828082,0.0001442124,0.00004899357,0.000383392,0.9859585,0.00001448353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001641275,0.00008919756,0.00005984741,0.00005526347,0.00001837171,0.00001383588,0.9972454,0.00007067421,0.002283285],"genre_scores_gemma":[0.0006605491,0.0002502188,0.0001866629,0.00004380554,0.00001467051,0.0001574001,0.9935437,0.00005653455,0.005086375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8998534,"threshold_uncertainty_score":0.3350237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549825774669671,"score_gpt":0.1761233669306383,"score_spread":0.1606251091839416,"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."}}