{"id":"W7131269978","doi":"10.25549/wpacards-c8-139487","title":"WPA block face card for household census (block 182) 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":[0.0007133316,0.001338308,0.001160262,0.003195581,0.0006842766,0.002102918,0.001855665,0.0008389621,0.08906809],"category_scores_gemma":[0.004507436,0.0006460792,0.0005921504,0.007378807,0.0002483283,0.001322209,0.001401148,0.001508943,0.1336106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742032,"about_ca_system_score_gemma":0.002721276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1144089,"about_ca_topic_score_gemma":0.1442761,"domain_scores_codex":[0.9991519,0.0001182066,0.0001044531,0.0002586079,0.000236655,0.0001301555],"domain_scores_gemma":[0.997607,0.0002877919,0.0002630249,0.0003946628,0.001228296,0.0002192803],"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":[0.00001029583,0.000006703509,0.0005383804,0.00008906785,0.000005790901,0.000006344467,0.000009125088,0.00005241794,0.00001166895,0.0001640175,0.9980361,0.001070141],"study_design_scores_gemma":[0.00008182193,0.000008380617,0.01054441,0.0001934089,0.00001182935,0.00002700628,0.0001213586,0.0002899031,0.0001154368,0.0004351707,0.9881496,0.00002158645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001006752,0.00001975637,0.00003535122,0.00003113967,0.0000109973,0.000007347355,0.9989769,0.00008314349,0.0007347341],"genre_scores_gemma":[0.0002464064,0.00002867091,0.00009720265,0.0000190164,0.000005053733,0.00005895723,0.9983608,0.00002671493,0.001157032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1144089,"threshold_uncertainty_score":0.2979624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472160211884582,"score_gpt":0.1789980147027179,"score_spread":0.1642764125838721,"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."}}