{"id":"W6889396442","doi":"10.25549/wpacards-m62822","title":"WPA block face card for household census of Pacific Street, 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); Quarter (Canadian coin); Face (sociological concept); Population","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":[0.0005343945,0.001654029,0.001301404,0.006126918,0.0007386812,0.002017271,0.001833273,0.001113295,0.09972976],"category_scores_gemma":[0.004662217,0.0008582326,0.0007203346,0.01294762,0.0002317708,0.001318599,0.001270589,0.001255212,0.1229466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625262,"about_ca_system_score_gemma":0.00375594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1762356,"about_ca_topic_score_gemma":0.2303044,"domain_scores_codex":[0.9992865,0.00005924687,0.00009958594,0.0001877221,0.0002261033,0.0001409311],"domain_scores_gemma":[0.9970791,0.0003281215,0.0004165666,0.0004121845,0.001494621,0.0002693081],"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":[0.00002815974,0.00001341902,0.001513313,0.0001456064,0.00001164428,0.00001002825,0.00001693917,0.0001200039,0.00002872566,0.0001171323,0.9961281,0.001866843],"study_design_scores_gemma":[0.0001626197,0.00001589245,0.04027269,0.0002940523,0.00003873301,0.00005420814,0.0002694775,0.0006373574,0.0003904982,0.0004831436,0.9573342,0.00004717043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001333754,0.0000117969,0.00002229279,0.00001234968,0.000005704219,0.00000625625,0.9992043,0.00006904756,0.0005348428],"genre_scores_gemma":[0.0004032004,0.00002810053,0.00008686053,0.00001381509,0.000004577898,0.00006303289,0.9977319,0.00002564898,0.001642825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1762356,"threshold_uncertainty_score":0.3504195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492988270465079,"score_gpt":0.1762142574196197,"score_spread":0.1612843747149689,"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."}}