{"id":"W6945583008","doi":"10.25549/wpacards-m83042","title":"WPA block face card for household census of Broad, Q Streets, in Los Angeles County","year":2012,"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":[0.0005237742,0.001521521,0.001210488,0.005720444,0.0007099268,0.001921655,0.001788183,0.0009405454,0.1038767],"category_scores_gemma":[0.004151816,0.0008280827,0.0006319968,0.01240962,0.0002178217,0.001186296,0.001186889,0.001195502,0.1123775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668573,"about_ca_system_score_gemma":0.003872513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1807391,"about_ca_topic_score_gemma":0.246087,"domain_scores_codex":[0.9992995,0.00005701546,0.00009420579,0.000180424,0.0002264174,0.0001423513],"domain_scores_gemma":[0.9972948,0.0002809831,0.0003993129,0.0003426672,0.001425742,0.0002564152],"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":[0.00002662108,0.00001299983,0.00150945,0.0001377648,0.000009767158,0.000009604369,0.00001839434,0.00009891224,0.00002711943,0.0001257095,0.9962836,0.001740063],"study_design_scores_gemma":[0.0001567015,0.00001688755,0.044722,0.0002859761,0.00003370934,0.00004663047,0.0003012388,0.0005034506,0.0003542881,0.0004039761,0.9531351,0.0000400526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001445745,0.00001158158,0.00002385537,0.00001260486,0.000005751497,0.000007662721,0.9991155,0.00005904587,0.0006194866],"genre_scores_gemma":[0.0004858972,0.00003174527,0.00009366231,0.00001528448,0.000004993677,0.00008005709,0.99692,0.00002608303,0.002342283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1807391,"threshold_uncertainty_score":0.3593741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489829533142998,"score_gpt":0.1792200456252136,"score_spread":0.1643217502937837,"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."}}