{"id":"W7131237903","doi":"10.25549/wpacards-c8-137923","title":"WPA block face card for household census (block 1511) in Los Angeles","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); Block (permutation group theory); 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":[0.0006901918,0.001359053,0.001197766,0.003379369,0.0006972709,0.002160245,0.00184191,0.000848373,0.09916549],"category_scores_gemma":[0.004410856,0.0006534891,0.0005839813,0.007905881,0.000254097,0.001305241,0.00145057,0.001511223,0.1470469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860472,"about_ca_system_score_gemma":0.002862055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1182383,"about_ca_topic_score_gemma":0.1473319,"domain_scores_codex":[0.9991388,0.0001142818,0.0001074064,0.0002615232,0.0002440888,0.0001339015],"domain_scores_gemma":[0.9975833,0.0002920428,0.000263777,0.000393634,0.001242287,0.0002250405],"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":[0.000009316524,0.000006522946,0.0004823844,0.00009093657,0.000005412386,0.000006143059,0.000009253424,0.00005085322,0.00001224085,0.0001520852,0.9981384,0.001036336],"study_design_scores_gemma":[0.0000733761,0.00000770541,0.009680972,0.0001850202,0.00001077104,0.00002503572,0.000118004,0.0002651316,0.0001129384,0.0003867901,0.9891139,0.00002030727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009187582,0.00001871137,0.00003233605,0.00002867207,0.000009863104,0.000006968243,0.9990011,0.00008424072,0.0007261724],"genre_scores_gemma":[0.0002248257,0.00002809653,0.00009226344,0.00001723063,0.000004550392,0.00005565777,0.9984273,0.0000270079,0.001123143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182383,"threshold_uncertainty_score":0.3317416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465568769071391,"score_gpt":0.1783436701514409,"score_spread":0.163687982460727,"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."}}