{"id":"W7131251287","doi":"10.25549/wpacards-c8-131194","title":"WPA household census for 863 LAVETA TERRACE, Los Angeles","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785602,0.001203191,0.00102072,0.003470194,0.0006082295,0.001944209,0.001480785,0.0004729047,0.07922339],"category_scores_gemma":[0.003865724,0.0005929554,0.0005402734,0.009798092,0.0001815167,0.001141657,0.0009412142,0.001394072,0.08259298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984007,"about_ca_system_score_gemma":0.003747791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1860796,"about_ca_topic_score_gemma":0.2067353,"domain_scores_codex":[0.9992542,0.00009820391,0.00009831673,0.0002050312,0.0002469195,0.000097308],"domain_scores_gemma":[0.9979721,0.0002220407,0.0002149865,0.0002338495,0.001214103,0.0001429559],"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":[0.00000846878,0.000005486377,0.0008209342,0.00012456,0.000008224631,0.000007201452,0.0000145215,0.00004843103,0.000007894546,0.0002444124,0.9970373,0.00167257],"study_design_scores_gemma":[0.00005486309,0.000006414716,0.01679372,0.0003075429,0.00001883284,0.00002736357,0.0001947701,0.0002011629,0.00006388772,0.0004088134,0.9819058,0.00001682058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001593905,0.00006831837,0.00004446116,0.00004578248,0.00001327751,0.000008938639,0.9981769,0.00005599488,0.001426815],"genre_scores_gemma":[0.0006304154,0.0001697243,0.000136881,0.00003249653,0.00001108411,0.0001106983,0.9955468,0.00004044146,0.00332156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1860796,"threshold_uncertainty_score":0.3699929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605215116451423,"score_gpt":0.1790547495188501,"score_spread":0.1630025983543358,"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."}}