{"id":"W7131278166","doi":"10.25549/wpacards-ouc11579126","title":"WPA household census for 148 SOUTH HICKS 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":[0.0006384511,0.001145228,0.001026264,0.003141693,0.0005657824,0.001824886,0.001382791,0.000494401,0.07729668],"category_scores_gemma":[0.003886029,0.0005657193,0.0005016032,0.009039604,0.0001810576,0.001180409,0.0009209618,0.001397716,0.08183154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788851,"about_ca_system_score_gemma":0.003474572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1296519,"about_ca_topic_score_gemma":0.1432508,"domain_scores_codex":[0.9992567,0.00009755894,0.0001025248,0.0002097483,0.0002399372,0.00009356061],"domain_scores_gemma":[0.9978797,0.000248071,0.0002146662,0.00022457,0.001285032,0.0001478364],"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":[0.000007553293,0.000005724145,0.0007368592,0.0001153184,0.000007208282,0.000006971624,0.00001299387,0.00004888588,0.000008204693,0.0002557061,0.997237,0.001557715],"study_design_scores_gemma":[0.00006143269,0.000006933399,0.016734,0.0003106369,0.00001920032,0.00002931532,0.0001896384,0.0002028231,0.00006645733,0.0005077086,0.9818557,0.00001611928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001311249,0.0000518145,0.00004092803,0.00004363015,0.00001430383,0.000009289775,0.9983681,0.00004236517,0.001298427],"genre_scores_gemma":[0.0005665005,0.0001394194,0.000146918,0.00003755916,0.00001112023,0.0001075352,0.9963059,0.00003646725,0.002648467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1296519,"threshold_uncertainty_score":0.2585831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484882471038742,"score_gpt":0.1742481787189785,"score_spread":0.1593993540085911,"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."}}