{"id":"W7131316785","doi":"10.25549/wpacards-c8-135709","title":"WPA household census for 341 W ROSECRANS 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); 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":[0.0006507818,0.001308659,0.001111176,0.003237323,0.0006068372,0.002086591,0.001409784,0.0005607164,0.08257341],"category_scores_gemma":[0.00429209,0.0006067525,0.000572465,0.009089984,0.0001937469,0.00130271,0.0009817259,0.001551263,0.1036649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896578,"about_ca_system_score_gemma":0.003528476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1205024,"about_ca_topic_score_gemma":0.1351983,"domain_scores_codex":[0.9991975,0.0000955764,0.00010426,0.0002435212,0.0002643145,0.00009484655],"domain_scores_gemma":[0.9976379,0.0002814515,0.0002349728,0.0002555582,0.001425135,0.0001650655],"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":[0.00000595039,0.000005035468,0.0006264835,0.00008878887,0.000006107041,0.000005752254,0.000009048374,0.0000382936,0.000006868335,0.0001844766,0.997675,0.001348184],"study_design_scores_gemma":[0.00005695354,0.000005910577,0.01270361,0.0002911507,0.00001742807,0.00002676856,0.0001502221,0.0002043598,0.00006404216,0.0004654839,0.9859978,0.0000162406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001071963,0.00005234127,0.00004022582,0.00004887209,0.00001459317,0.000007452263,0.9984951,0.00005017588,0.001184136],"genre_scores_gemma":[0.0004617708,0.0001286943,0.0001389705,0.00003660424,0.00001113038,0.0000830382,0.9966582,0.0000371231,0.002444408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1205024,"threshold_uncertainty_score":0.2762356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386696415377065,"score_gpt":0.1737516514238111,"score_spread":0.1598846872700405,"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."}}