{"id":"W7131207587","doi":"10.25549/wpacards-ouc11578969","title":"WPA household census for 134 SOUTH ALMA STREET, 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); American Community Survey; 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":[0.0006360815,0.001152933,0.001012455,0.003271003,0.0005814348,0.00181269,0.001359723,0.0004868634,0.07563902],"category_scores_gemma":[0.003944485,0.0005570757,0.0005056021,0.00961757,0.0001792391,0.001190023,0.0008942373,0.001384522,0.08071303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808773,"about_ca_system_score_gemma":0.003581038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1343372,"about_ca_topic_score_gemma":0.1522656,"domain_scores_codex":[0.9992347,0.0001009312,0.0001074667,0.000214297,0.0002510195,0.00009169307],"domain_scores_gemma":[0.9978333,0.0002469599,0.0002259227,0.0002265372,0.001320936,0.0001463914],"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":[0.000007480292,0.000005836579,0.0008055893,0.0001202894,0.000007601207,0.000007104089,0.00001358072,0.00004810924,0.00000839828,0.0002508939,0.9971082,0.001616955],"study_design_scores_gemma":[0.00005799326,0.000006635952,0.01738744,0.000305173,0.00001904685,0.0000288866,0.0001868745,0.0001934031,0.00006158738,0.0004894344,0.9812472,0.0000162171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001347309,0.0000551896,0.00004095195,0.00004466982,0.00001489208,0.000009260037,0.9983279,0.00004256214,0.001329776],"genre_scores_gemma":[0.0006064408,0.0001552548,0.0001555046,0.00003954224,0.00001244342,0.0001138948,0.9960546,0.00003696042,0.002825277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1343372,"threshold_uncertainty_score":0.2671105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515537959332746,"score_gpt":0.1751427714765282,"score_spread":0.1599873918832007,"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."}}