{"id":"W7131274933","doi":"10.25549/wpacards-c8-159810","title":"WPA household census for 5435 EL SEGUNDO BLVD, 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); Variety (cybernetics); 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":[0.0006179496,0.001262976,0.001026249,0.003352602,0.0005549867,0.001909981,0.001310656,0.0004942052,0.08421693],"category_scores_gemma":[0.003718121,0.0005788879,0.0005209786,0.009514196,0.0001820252,0.001204025,0.0008669102,0.001346902,0.09280415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933022,"about_ca_system_score_gemma":0.003514353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1389283,"about_ca_topic_score_gemma":0.1501603,"domain_scores_codex":[0.9992061,0.00009901242,0.0001064215,0.0002353888,0.0002587187,0.00009440626],"domain_scores_gemma":[0.9978782,0.000227102,0.0002282441,0.0002089605,0.001315594,0.0001419532],"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":[0.000006771269,0.000005985263,0.0008733391,0.00009874126,0.000006816012,0.000006153574,0.00001213474,0.00004501641,0.000007407762,0.0002082465,0.9970561,0.001673175],"study_design_scores_gemma":[0.00005925711,0.000006955441,0.01849949,0.0003021754,0.00002060312,0.00002733664,0.0002025004,0.0002125433,0.00006567007,0.0004267762,0.9801607,0.000015974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001713463,0.00006636278,0.0000450107,0.00005154802,0.00001636457,0.00001010458,0.9979818,0.00005141894,0.001606141],"genre_scores_gemma":[0.0007391363,0.0001813753,0.0001591121,0.00003934629,0.00001442221,0.0001171734,0.9949341,0.00003995619,0.003775294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1389283,"threshold_uncertainty_score":0.2817337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363150058717402,"score_gpt":0.1783933449872608,"score_spread":0.1647618444000868,"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."}}