{"id":"W6990905960","doi":"","title":"ERIC ED499747: Federal Literacy Facts: An Update on Literacy Related Developments at the National Level, April 2006","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disappointment; Literacy; Government (linguistics); Adult literacy; Information literacy","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":[0.003748473,0.0006986957,0.0007528318,0.006357679,0.002697028,0.004992049,0.001626699,0.007710828,0.05915033],"category_scores_gemma":[0.02002665,0.0008472198,0.0004459436,0.006472158,0.000696171,0.00408276,0.001836492,0.003956623,0.04220436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003667172,"about_ca_system_score_gemma":0.01067009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09063504,"about_ca_topic_score_gemma":0.1811238,"domain_scores_codex":[0.9975482,0.0002744462,0.0003484738,0.0001123183,0.001394323,0.0003223015],"domain_scores_gemma":[0.987156,0.003724874,0.001276407,0.0003432134,0.006422109,0.001077264],"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":[0.000003711908,0.000006583761,0.00008159474,0.00002536777,4.148488e-7,0.000007651388,0.00001835184,0.000006877091,0.000006342008,0.0001789986,0.993935,0.005729005],"study_design_scores_gemma":[0.000005879835,0.000006012942,0.00165578,0.0002720848,0.000003316852,0.00001629723,0.00008032188,0.00001599738,0.00003234545,0.0001758738,0.9977278,0.000008433752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002447986,0.02338283,0.002190142,0.2071532,0.07594083,0.0009633464,0.06321133,0.002590119,0.6221203],"genre_scores_gemma":[0.006355978,0.02058115,0.003823667,0.08412116,0.01330402,0.0008537452,0.0282697,0.0006165347,0.8420741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09063504,"threshold_uncertainty_score":0.1978776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499426854239296,"score_gpt":0.2816806146341894,"score_spread":0.2466863460917965,"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."}}