{"id":"W7131267807","doi":"10.25549/wpacards-ouc11578744","title":"WPA household census for 110 SOUTH ALMA 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; 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":[0.0006337644,0.001161756,0.001031956,0.003127965,0.0005773838,0.001849034,0.001372464,0.0004967597,0.07507516],"category_scores_gemma":[0.003994537,0.0005703709,0.00051745,0.009413367,0.0001760193,0.001208628,0.0008916321,0.001418891,0.08154377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774543,"about_ca_system_score_gemma":0.003511221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1331252,"about_ca_topic_score_gemma":0.149195,"domain_scores_codex":[0.9992348,0.0001019229,0.0001076475,0.0002140176,0.0002495619,0.0000919964],"domain_scores_gemma":[0.9977591,0.0002574085,0.00022668,0.0002362208,0.001369638,0.0001509338],"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":[0.000007280495,0.00000572072,0.0007790191,0.0001157195,0.00000757748,0.000006879308,0.00001297309,0.00004820673,0.000007922454,0.0002451071,0.9971955,0.001568099],"study_design_scores_gemma":[0.00006090075,0.000006782166,0.01729611,0.000309787,0.00001955029,0.00002832024,0.0001891421,0.0002075979,0.00006286285,0.0005119442,0.9812903,0.00001673767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001325117,0.0000555907,0.00004043766,0.00004651604,0.00001514116,0.00000892271,0.9983633,0.00004399566,0.001293526],"genre_scores_gemma":[0.0005969238,0.0001540201,0.000150907,0.00003896334,0.00001226193,0.0001082921,0.9962428,0.00003632416,0.002659515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1331252,"threshold_uncertainty_score":0.2647008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496276124288717,"score_gpt":0.1753181439872646,"score_spread":0.1603553827443774,"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."}}