{"id":"W7131242403","doi":"10.25549/wpacards-c8-139670","title":"WPA block face card for household census (block 221) 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":[0.0007136131,0.00131037,0.001160672,0.003138603,0.0006759533,0.002095506,0.001845525,0.0008373472,0.08477294],"category_scores_gemma":[0.004423436,0.0006371781,0.0005885863,0.007271946,0.0002453655,0.001281276,0.00140312,0.001504502,0.1295337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733513,"about_ca_system_score_gemma":0.00273227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1142217,"about_ca_topic_score_gemma":0.1438375,"domain_scores_codex":[0.9991564,0.0001185668,0.0001039346,0.0002552427,0.0002367917,0.0001290647],"domain_scores_gemma":[0.99764,0.0002845388,0.0002593509,0.0003880011,0.001208073,0.0002200295],"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":[0.00001038354,0.000006846986,0.0005524493,0.0000907952,0.000005862718,0.000006620794,0.000009348088,0.00005437577,0.000012018,0.0001666536,0.9979905,0.001094016],"study_design_scores_gemma":[0.00008137351,0.000008414137,0.01074679,0.0001936825,0.00001184856,0.00002745454,0.0001219113,0.0003000067,0.0001181232,0.00043398,0.9879344,0.00002191515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001044446,0.00001990624,0.0000361179,0.00003160831,0.00001089547,0.000007336908,0.9989733,0.0000847183,0.0007317587],"genre_scores_gemma":[0.0002488178,0.00002874227,0.00009832074,0.0000190217,0.00000492099,0.00005801886,0.9983814,0.00002648911,0.001134331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1142217,"threshold_uncertainty_score":0.2835938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469190930829617,"score_gpt":0.178631782447397,"score_spread":0.1639398731391008,"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."}}