{"id":"W6889407631","doi":"10.25549/wpacards-c8-169463","title":"WPA block face card for household census (block 263) in Los Angeles County","year":2015,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","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":[0.000653914,0.001360703,0.001140674,0.004842394,0.0007778095,0.001944973,0.001659196,0.001040796,0.09186509],"category_scores_gemma":[0.005508754,0.0008165257,0.0006338279,0.01055531,0.0002491807,0.00120617,0.001507977,0.001103417,0.1044238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837129,"about_ca_system_score_gemma":0.004497252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1987775,"about_ca_topic_score_gemma":0.2395321,"domain_scores_codex":[0.9990722,0.00008657717,0.0001232613,0.0002345609,0.0003011184,0.0001823109],"domain_scores_gemma":[0.9965578,0.000361909,0.000511619,0.0004959387,0.001726579,0.0003460181],"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":[0.00003274168,0.00001433792,0.00209558,0.0001274626,0.00001205446,0.00001203346,0.0000227298,0.0001226406,0.00002919184,0.0001816024,0.9954905,0.001859059],"study_design_scores_gemma":[0.000128426,0.00001558546,0.04013485,0.0003006127,0.00003020056,0.00004092895,0.0002947657,0.0005218624,0.0003267118,0.0004686134,0.9576983,0.00003908183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002696473,0.00001857606,0.00003258278,0.00002089817,0.000009488862,0.00001012211,0.9986883,0.00007817858,0.0008722279],"genre_scores_gemma":[0.0007085213,0.00003521155,0.0001024432,0.00002162292,0.000005661307,0.00008148375,0.9964054,0.00002818015,0.002611512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1987775,"threshold_uncertainty_score":0.3952409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829433496014589,"score_gpt":0.1848122385848013,"score_spread":0.1665179036246554,"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."}}