{"id":"W6889427528","doi":"10.25549/wpacards-c8-164325","title":"WPA household census for 728 SOUTH VANCOUVER AVE, Los Angeles County","year":2015,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Data collection; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000180996,0.0009129119,0.001105445,0.0005676546,0.0002398265,0.0002429388,0.001690735,0.0008210278,0.0002358484],"category_scores_gemma":[0.0001012487,0.0009727275,0.0006723765,0.0004701012,0.0007568948,0.0008678607,0.0009506953,0.0005811656,0.002698869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002454059,"about_ca_system_score_gemma":0.0007197654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001597,"about_ca_topic_score_gemma":0.00008176277,"domain_scores_codex":[0.9965628,0.00008262717,0.0005356501,0.0009824019,0.001005987,0.0008304775],"domain_scores_gemma":[0.9967853,0.000187175,0.001005618,0.001154187,0.000222016,0.0006457357],"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":[0.001368556,0.0003459674,0.0005883173,0.0004735039,0.0002451893,0.0001483994,0.00002099858,0.00003675008,0.000001515671,0.000001635409,0.9966818,0.00008738195],"study_design_scores_gemma":[0.00190131,0.00006605572,0.000003059751,0.0002591161,0.0004072089,0.000006875923,0.002793252,0.00003068313,0.00001020967,0.0003217615,0.9931649,0.001035579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006607134,0.0001580909,0.00002420296,0.00001595555,0.0001905452,0.0007997684,0.9961735,0.0005229014,0.001454325],"genre_scores_gemma":[0.0001435098,0.00001197832,0.0002674976,0.00009512134,0.0003360032,0.000001369808,0.9977052,0.0003248151,0.001114543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003516896,"threshold_uncertainty_score":0.9992723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709879734222255,"score_gpt":0.1772174392416007,"score_spread":0.1601186418993782,"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."}}