{"id":"W7131311496","doi":"10.25549/wpacards-c8-159","title":"WPA blocklist of household censuses for Sydney, Triggs, Eastern Streets","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); Variety (cybernetics); 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":[0.0006776316,0.001394866,0.001141612,0.004705788,0.0005524779,0.001620284,0.00112041,0.0005679926,0.1199437],"category_scores_gemma":[0.004177548,0.0008731988,0.0005553182,0.01167112,0.0002330565,0.001178198,0.001190595,0.0013662,0.1673125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477819,"about_ca_system_score_gemma":0.003273659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.064889,"about_ca_topic_score_gemma":0.1003622,"domain_scores_codex":[0.9992868,0.00008651751,0.0001008537,0.0001944609,0.0002386671,0.00009255209],"domain_scores_gemma":[0.9977775,0.0003533946,0.0002396028,0.0003562552,0.001087389,0.0001859147],"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":[0.000009304975,0.000006244218,0.0005797588,0.0001665003,0.000007550677,0.000007858032,0.0000196402,0.00007500286,0.00002410739,0.0003608519,0.996829,0.0019142],"study_design_scores_gemma":[0.00004250314,0.000004885375,0.009698469,0.0002130929,0.000009346359,0.00002283738,0.00008952764,0.000153236,0.0001033418,0.0004946874,0.9891557,0.00001235966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009084831,0.00002662893,0.00004301696,0.00001929478,0.00001081776,0.000008999311,0.9985972,0.00006767692,0.001135583],"genre_scores_gemma":[0.0002527946,0.00007101292,0.0001417735,0.00001795366,0.000005158106,0.00006207317,0.9973115,0.00004920114,0.00208862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1199437,"threshold_uncertainty_score":0.4012516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502025596197702,"score_gpt":0.1795210985372174,"score_spread":0.1645008425752404,"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."}}