{"id":"W7131274168","doi":"10.25549/wpacards-c8-114","title":"WPA blocklist of household censuses for 5th, Ditman, Lanfranco, 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":[0.0008678218,0.001350658,0.001170744,0.0046696,0.0006116538,0.00206166,0.001247377,0.0005802388,0.1255022],"category_scores_gemma":[0.005426799,0.0007398345,0.0005312617,0.01253703,0.0002251197,0.001328956,0.001226019,0.001492957,0.1565652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152763,"about_ca_system_score_gemma":0.003231704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05911588,"about_ca_topic_score_gemma":0.08444447,"domain_scores_codex":[0.9990932,0.000115863,0.0001269713,0.0002514432,0.0002953433,0.0001172277],"domain_scores_gemma":[0.9973097,0.0004511991,0.0002853251,0.0004257511,0.001328145,0.0001999204],"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":[0.000009319711,0.000006622407,0.0007284801,0.0001437205,0.00000729413,0.000006716054,0.0000165197,0.00005863025,0.0000213619,0.0004088175,0.9965395,0.002053072],"study_design_scores_gemma":[0.00004466812,0.000004600408,0.008449353,0.0002149698,0.000009634104,0.00002102322,0.0000974061,0.0001245763,0.0001048613,0.0004507841,0.9904673,0.00001096296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006723003,0.00002616304,0.00004766364,0.00002089531,0.000008655832,0.000008422621,0.9987419,0.00005749316,0.001021632],"genre_scores_gemma":[0.0002364538,0.00006298227,0.0001606948,0.00001766776,0.000004334484,0.00006147519,0.9978657,0.00003997597,0.001550665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1255022,"threshold_uncertainty_score":0.4198467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300935470689838,"score_gpt":0.1795756452528776,"score_spread":0.1665662905459793,"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."}}