{"id":"W7131275068","doi":"10.25549/wpacards-ouc11554655","title":"WPA household census for 623 MCDONNELL 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; American Community Survey; Administration (probate law); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001086221,0.000791818,0.001024939,0.0004374037,0.0002690294,0.0003197528,0.001437257,0.0007359851,0.0004343669],"category_scores_gemma":[0.00008434543,0.0008980884,0.0007989174,0.0005295145,0.0006049355,0.0006701451,0.0009877017,0.0005495314,0.002022562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526083,"about_ca_system_score_gemma":0.0005029346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009036983,"about_ca_topic_score_gemma":0.00002835217,"domain_scores_codex":[0.9970012,0.00008816466,0.0004910756,0.0009882583,0.0006989517,0.0007323642],"domain_scores_gemma":[0.9972544,0.0003044929,0.0007397509,0.001122251,0.0001467803,0.0004323781],"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":[0.000652635,0.0004636134,0.000420864,0.0007400136,0.0002633493,0.0003789202,0.000005918175,0.00002522639,0.000009377641,0.000003396683,0.9969276,0.0001090705],"study_design_scores_gemma":[0.001212234,0.00003882977,0.000005928665,0.0004053056,0.0003563384,0.00002111352,0.001683012,0.00002600398,0.00005353337,0.0001810832,0.9951081,0.0009085007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009736929,0.0003625578,0.00002160048,0.00005009321,0.0001006623,0.000583145,0.9965916,0.0003929125,0.0009237226],"genre_scores_gemma":[0.00007011418,0.00006992178,0.0002760317,0.0001202839,0.0002819274,0.00000104856,0.9981727,0.00027877,0.0007291897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.001819498,"threshold_uncertainty_score":0.999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491744092524188,"score_gpt":0.1720460901584421,"score_spread":0.1571286492332002,"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."}}