{"id":"W7131291773","doi":"10.25549/wpacards-c8-150903","title":"WPA household census for 4848 58TH STREET, 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; Public use; Administration (probate law)","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":[0.000664183,0.001225916,0.001108913,0.003199107,0.0005806111,0.001941271,0.001398612,0.0005486505,0.09768066],"category_scores_gemma":[0.004267029,0.000589776,0.0005410546,0.009370844,0.000187536,0.001321754,0.0009431411,0.001477093,0.1058461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767481,"about_ca_system_score_gemma":0.003667522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1196532,"about_ca_topic_score_gemma":0.1275575,"domain_scores_codex":[0.9991778,0.0001055972,0.0001193796,0.0002274071,0.0002714244,0.00009842047],"domain_scores_gemma":[0.9976342,0.0002766877,0.0002365363,0.0002492961,0.001449155,0.0001542105],"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":[0.000006246085,0.000005141899,0.0005950739,0.0001075073,0.000006018637,0.000005944944,0.00001040274,0.00004113839,0.000006793005,0.0002086042,0.9974942,0.001513066],"study_design_scores_gemma":[0.00005913814,0.000006600361,0.01333694,0.0003100982,0.00001740593,0.0000262145,0.0001591373,0.0001698681,0.0000540963,0.0004645209,0.9853808,0.00001520416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001080361,0.00005449744,0.0000402684,0.00004983318,0.0000166168,0.000009339992,0.9982128,0.00004639566,0.001462247],"genre_scores_gemma":[0.0005380495,0.0001701535,0.000153849,0.00004391933,0.00001383832,0.0001179026,0.9956744,0.00004256089,0.003245326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1196532,"threshold_uncertainty_score":0.3267744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143933090767922,"score_gpt":0.175360790124739,"score_spread":0.1609674810479468,"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."}}