{"id":"W7131210081","doi":"10.25549/wpacards-c8-30","title":"WPA blocklist of household censuses for Malabar, Winter, Rowan, Folsom, Indiana 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":[0.0006960841,0.001527934,0.001256142,0.004903716,0.0007238484,0.001922396,0.001559919,0.0006508261,0.1083008],"category_scores_gemma":[0.005000562,0.0007730839,0.0005382667,0.01356563,0.000257457,0.001247272,0.001322678,0.001509956,0.1254885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697427,"about_ca_system_score_gemma":0.003227349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09185401,"about_ca_topic_score_gemma":0.123956,"domain_scores_codex":[0.9992939,0.00008323422,0.00008957969,0.0001982629,0.0002216015,0.0001133835],"domain_scores_gemma":[0.9973587,0.0004585507,0.0003099212,0.00043494,0.001223443,0.0002143173],"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":[0.00001033299,0.000007348364,0.0008513573,0.0001961608,0.000009720343,0.000008638776,0.00002133069,0.00007945669,0.00002774246,0.0003311621,0.9965696,0.001887182],"study_design_scores_gemma":[0.00005977798,0.000004940307,0.01225152,0.0002348998,0.00001235492,0.00002343857,0.0001332416,0.0002089991,0.000117283,0.0004766205,0.9864621,0.00001477327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006839468,0.00002186672,0.00003177498,0.00001977998,0.00000716715,0.00000578422,0.9992146,0.00006142482,0.0005691099],"genre_scores_gemma":[0.0002386339,0.00004175464,0.0001025283,0.00001279544,0.000003193555,0.00004099228,0.9986889,0.00003054625,0.0008406759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1083008,"threshold_uncertainty_score":0.3623021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243246734362492,"score_gpt":0.1759092776029462,"score_spread":0.1634768102593213,"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."}}