{"id":"W7131310920","doi":"10.25549/wpacards-ouc11583485","title":"WPA household census for 3310 ROSECRANS 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; 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":[0.0006867272,0.00125674,0.00109175,0.003071478,0.000573747,0.001931573,0.001385453,0.000548816,0.07799272],"category_scores_gemma":[0.004257572,0.0005839128,0.0005526324,0.008553218,0.0001876603,0.001220964,0.0009508483,0.001486352,0.09411269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817577,"about_ca_system_score_gemma":0.003372759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143811,"about_ca_topic_score_gemma":0.1301877,"domain_scores_codex":[0.9991986,0.0001025515,0.0001043685,0.0002393583,0.0002620382,0.0000931366],"domain_scores_gemma":[0.9976164,0.0002891842,0.0002385055,0.0002610898,0.001434123,0.0001607162],"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":[0.000006596806,0.00000515596,0.0006557446,0.00009495192,0.000006519142,0.000005809952,0.000008876286,0.00004230308,0.000007017121,0.0001933193,0.9975897,0.001383999],"study_design_scores_gemma":[0.00006675807,0.000006485769,0.01364664,0.0003049462,0.00001895285,0.00002911203,0.0001521984,0.0002289301,0.00006893482,0.0004850435,0.9849753,0.00001667261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001109795,0.00005040541,0.00004160721,0.00004742109,0.0000143987,0.00000739292,0.9986138,0.00004740328,0.001066491],"genre_scores_gemma":[0.0004871806,0.0001231851,0.0001378382,0.0000360093,0.00001098857,0.00008601429,0.9968114,0.00003440373,0.002272947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1143811,"threshold_uncertainty_score":0.2609116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369653514276256,"score_gpt":0.173456102580465,"score_spread":0.1597595674377024,"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."}}