{"id":"W6926733873","doi":"10.25549/wpacards-m62866","title":"WPA block face card for household census of 14th, Patton, 15th, Averill 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":[0.0005326561,0.001689293,0.0013078,0.004617801,0.0007006063,0.001853635,0.001939233,0.001119276,0.1051362],"category_scores_gemma":[0.004168666,0.0007909287,0.0007269713,0.008999255,0.000228384,0.001109646,0.001193426,0.001340199,0.1291222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523616,"about_ca_system_score_gemma":0.003212944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.132363,"about_ca_topic_score_gemma":0.1957412,"domain_scores_codex":[0.9993327,0.00006021199,0.00008003379,0.0001851283,0.0002051616,0.0001367221],"domain_scores_gemma":[0.9975778,0.0002715553,0.0003219569,0.0003614822,0.001210433,0.0002568715],"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":[0.00002503094,0.00001224069,0.001103817,0.0001073691,0.000008646849,0.000007882308,0.0000129823,0.00008865687,0.00002467716,0.0001132479,0.9970091,0.00148641],"study_design_scores_gemma":[0.0001912182,0.000017921,0.03428491,0.0002928044,0.00003114682,0.00005266446,0.0002412129,0.0006677496,0.0003569978,0.0005290959,0.96329,0.00004417629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000122874,0.00001090851,0.00002769054,0.00001540047,0.00000656302,0.000007430694,0.9992349,0.00006931814,0.0005050278],"genre_scores_gemma":[0.0003691827,0.00002312693,0.00009616894,0.000015743,0.000004446416,0.00006627988,0.9977899,0.00002290288,0.001612192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.132363,"threshold_uncertainty_score":0.3517156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421814386367178,"score_gpt":0.1775621517227693,"score_spread":0.1633440078590976,"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."}}