{"id":"W131556637","doi":"","title":"Reforming Adult Literacy Education: Transforming Local Programs into National Systems in Canada, the United Kingdom, & the United States.","year":2001,"lang":"en","type":"article","venue":"","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kingdom; Political science; Literacy; Economic growth; History of the United States; Public administration; Economics; Law","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":[0.00281238,0.0001186991,0.0001691365,0.0008264411,0.006084675,0.004955683,0.001165452,0.001855057,0.005947158],"category_scores_gemma":[0.009770451,0.0001326265,0.0001664601,0.001588508,0.003232713,0.002069004,0.003855241,0.002025755,0.0002911368],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05544662,"about_ca_system_score_gemma":0.2061494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9504182,"about_ca_topic_score_gemma":0.9824432,"domain_scores_codex":[0.997386,0.00060028,0.00005162943,0.00007865487,0.0003410417,0.001542379],"domain_scores_gemma":[0.9937125,0.0006667128,0.0001906146,0.0000969457,0.00147042,0.003862759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000347937,0.001270748,0.08866034,0.000725446,0.0000555391,0.0006394654,0.03809445,0.003605772,0.001577478,0.3037748,0.1342055,0.4270426],"study_design_scores_gemma":[0.0003934206,0.0007062293,0.3301688,0.00206775,0.0002418348,0.0002167679,0.1500928,0.003731861,0.002449882,0.02916435,0.4806348,0.0001313568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6058713,0.008606085,0.002842471,0.1971925,0.0004386002,0.0004967405,0.0008444317,0.0002255622,0.1834822],"genre_scores_gemma":[0.9613581,0.002295692,0.002353988,0.008783611,0.00005307381,0.0001183095,0.0002464341,0.00002566076,0.02476509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9445534,"threshold_uncertainty_score":0.4022953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379981427279231,"score_gpt":0.3501627867675095,"score_spread":0.3121646440395864,"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."}}