{"id":"W7131233363","doi":"10.25549/wpacards-c8-139617","title":"WPA block face card for household census (block 204) 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":[0.0007011082,0.001319339,0.001153799,0.003085481,0.000685923,0.002085075,0.001837201,0.0008337891,0.08825529],"category_scores_gemma":[0.004376802,0.0006410546,0.0005894928,0.007154648,0.0002495735,0.001287916,0.00139937,0.001528643,0.1327263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718108,"about_ca_system_score_gemma":0.002686428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1112546,"about_ca_topic_score_gemma":0.1414409,"domain_scores_codex":[0.9991772,0.0001145466,0.0001017189,0.0002487344,0.0002303813,0.0001274547],"domain_scores_gemma":[0.9976912,0.0002793204,0.0002544313,0.0003872105,0.001175605,0.0002122871],"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":[0.00001032502,0.000006811442,0.0005402646,0.00009001705,0.00000587671,0.000006547365,0.000009063489,0.00005286104,0.00001221157,0.0001621564,0.9980348,0.001069087],"study_design_scores_gemma":[0.0000822039,0.000008438077,0.01066841,0.0001931318,0.00001203415,0.00002753016,0.0001227412,0.0002871724,0.0001205447,0.0004358929,0.9880202,0.00002164082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001013928,0.0000191355,0.00003454628,0.00003104432,0.00001106488,0.000007277925,0.9989954,0.00008182444,0.0007183161],"genre_scores_gemma":[0.0002498026,0.0000281529,0.00009615862,0.00001892118,0.000004948851,0.00005787159,0.9983881,0.00002621463,0.001129924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1112546,"threshold_uncertainty_score":0.2952433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463224305118411,"score_gpt":0.1786235120356729,"score_spread":0.1639912689844888,"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."}}