{"id":"W133508838","doi":"10.5281/zenodo.8003940","title":"Assessing Adult Literacy: The Aim, Use and Benefits of Standardized Screening Tools","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Standardized test; Psychology; Computer science; Medicine; Medical education; Pedagogy; Mathematics education","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":[0.07530025,0.0003538675,0.0003832995,0.002288489,0.0004812913,0.001863483,0.00079196,0.0009615596,0.0006645803],"category_scores_gemma":[0.1094894,0.0003122896,0.0003747797,0.002479428,0.001659362,0.003810007,0.002483109,0.0008462995,0.0001672008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124084,"about_ca_system_score_gemma":0.003503059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109479,"about_ca_topic_score_gemma":0.002951432,"domain_scores_codex":[0.9359686,0.05103544,0.003525869,0.001190836,0.007299924,0.0009793492],"domain_scores_gemma":[0.925977,0.05203528,0.01045155,0.003397621,0.007320087,0.0008184062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003762449,0.0005987295,0.4914386,0.00268879,0.0001488848,0.0002540211,0.0219792,0.0005487799,0.001551412,0.004698536,0.001593857,0.4741231],"study_design_scores_gemma":[0.00009940881,0.003328451,0.9315015,0.003983456,0.0002420552,0.001318414,0.02666233,0.002963148,0.00529506,0.009016168,0.01546458,0.0001252679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212296,0.009021681,0.03014133,0.006928673,0.0001128335,0.003670869,0.0008253607,0.0001689195,0.02790072],"genre_scores_gemma":[0.9584678,0.002436339,0.03617531,0.0005982241,0.00004333653,0.001485027,0.000214554,0.00001188179,0.0005675573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07530025,"threshold_uncertainty_score":0.3982306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139090111420656,"score_gpt":0.3576335997986403,"score_spread":0.2437245886565748,"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."}}