{"id":"W7131228038","doi":"10.25549/wpacards-ouc11582288","title":"WPA household census for 4274 LAVINIA 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); Value (mathematics); Variety (cybernetics)","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":[0.0001106497,0.0007796041,0.001028726,0.0004313152,0.0002636151,0.0003344441,0.001424663,0.0007398615,0.0004220755],"category_scores_gemma":[0.00009072961,0.0008833624,0.000760729,0.0005247756,0.0006131847,0.0006701854,0.0009919055,0.0005582828,0.001831833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499488,"about_ca_system_score_gemma":0.0005726934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009015958,"about_ca_topic_score_gemma":0.00003218959,"domain_scores_codex":[0.997018,0.00009101309,0.0004921806,0.0009627613,0.0007219065,0.0007140696],"domain_scores_gemma":[0.9972663,0.0002945196,0.0007412345,0.001123543,0.0001486481,0.0004257732],"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":[0.0006482015,0.0004495564,0.0005676829,0.0006682152,0.0002660149,0.0003779456,0.000005856653,0.00001300003,0.000009966587,0.000003543141,0.9968479,0.0001420707],"study_design_scores_gemma":[0.001185817,0.00004008489,0.0000106945,0.000409772,0.0003520732,0.00002202803,0.001251035,0.0000160915,0.00004029799,0.0001396107,0.9956441,0.0008883785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00120699,0.0003368145,0.00001307052,0.00005361531,0.00009761498,0.000564541,0.996471,0.0003982064,0.0008581117],"genre_scores_gemma":[0.00006892862,0.00006141522,0.0003030527,0.0001235565,0.0002623711,0.000001147086,0.9982329,0.000270301,0.0006763559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.001761837,"threshold_uncertainty_score":0.9993617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406446573845846,"score_gpt":0.1780157681572968,"score_spread":0.1639513024188383,"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."}}