{"id":"W7131294439","doi":"10.25549/wpacards-c8-187","title":"WPA blocklist of household censuses for Ditman, Hicks, Olympic 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); Value (mathematics); Variety (cybernetics)","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":[0.0007561521,0.001311231,0.001133393,0.004471376,0.0005661162,0.001827982,0.001414845,0.0006457492,0.1064862],"category_scores_gemma":[0.005092295,0.0007957132,0.0005105374,0.01275082,0.0002192097,0.001297527,0.001199374,0.001513467,0.1272447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537637,"about_ca_system_score_gemma":0.002949221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06764568,"about_ca_topic_score_gemma":0.09372131,"domain_scores_codex":[0.9991844,0.00009928448,0.0001143355,0.0002282222,0.0002646117,0.0001089876],"domain_scores_gemma":[0.9974263,0.0004134213,0.0002957117,0.0003824798,0.001271376,0.0002105892],"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":[0.000009739946,0.000007100986,0.00058805,0.0001490888,0.000007510586,0.000007067206,0.00001526361,0.0000714845,0.00002005222,0.0003417659,0.9972261,0.001556724],"study_design_scores_gemma":[0.00006102866,0.000005589812,0.01057387,0.0002243373,0.00001222598,0.00002271636,0.0001065424,0.0001889813,0.0001182588,0.0004803649,0.9881927,0.00001332753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000694632,0.00001933928,0.0000385837,0.00001919806,0.000007623327,0.000007562335,0.9990566,0.00005213704,0.0007294633],"genre_scores_gemma":[0.0002137055,0.00004192472,0.0001193986,0.00001508451,0.000003619909,0.00004909725,0.9983884,0.00003218688,0.001136657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1064862,"threshold_uncertainty_score":0.3562319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287326749960561,"score_gpt":0.1750845412252098,"score_spread":0.1622112737256042,"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."}}