{"id":"W7131227140","doi":"10.25549/wpacards-ouc11579268","title":"WPA household census for 144 SOUTH TOWNSEND 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); Townsend; Data collection; Administration (probate law)","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":[0.0006600611,0.001171668,0.001050181,0.003129774,0.0005840896,0.001875616,0.001374317,0.0004949791,0.07983191],"category_scores_gemma":[0.003995845,0.0005769644,0.0005148334,0.009407652,0.0001818859,0.001196251,0.0009125164,0.001427291,0.08464159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744791,"about_ca_system_score_gemma":0.003562653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1253158,"about_ca_topic_score_gemma":0.1384511,"domain_scores_codex":[0.9992247,0.0001048891,0.0001116192,0.0002163863,0.0002489952,0.00009349972],"domain_scores_gemma":[0.997743,0.0002625237,0.0002246984,0.0002337196,0.001379401,0.0001567359],"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":[0.000007150915,0.000005818934,0.0007387915,0.0001175201,0.000007406115,0.000006876535,0.00001302313,0.00004816905,0.000008196853,0.0002457797,0.9972385,0.001562633],"study_design_scores_gemma":[0.00006170831,0.000007102185,0.01650272,0.0003079113,0.00001962572,0.00002938745,0.0001878055,0.0002023264,0.00006468769,0.0005096337,0.9820905,0.00001665031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001266727,0.00005151572,0.00004262515,0.00004524694,0.00001493773,0.00000937367,0.9983348,0.00004382728,0.001330985],"genre_scores_gemma":[0.0005778513,0.0001496388,0.00015857,0.00003891896,0.0000119722,0.0001108219,0.9961879,0.0000383992,0.002726057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1253158,"threshold_uncertainty_score":0.2670643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629675443897813,"score_gpt":0.1762943506021702,"score_spread":0.159997596163192,"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."}}