{"id":"W3124070564","doi":"10.20561/00037625","title":"THE IMPACT OF A COMPUTER BASED ADULT LITERACY PROGRAM ON LITERACY AND NUMERACY-EVIDENCE FROM INDIA","year":2016,"lang":"en","type":"preprint","venue":"Institutional Repositories DataBase (IRDB)","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Numeracy; Literacy; Adult literacy; Standardization; Computer literacy; Mathematics education; Medical education; Computer science; Psychology; Pedagogy; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006155336,0.0006709093,0.000575605,0.0002736538,0.001040711,0.002344763,0.003326231,0.0002525085,0.000006505677],"category_scores_gemma":[0.001048101,0.0004345775,0.000286968,0.0003751132,0.0009306826,0.002413151,0.00470865,0.001047947,0.00001769782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004943968,"about_ca_system_score_gemma":0.002631832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316403,"about_ca_topic_score_gemma":0.00001360976,"domain_scores_codex":[0.9958051,0.0005335186,0.001012873,0.0009628354,0.00114397,0.0005416772],"domain_scores_gemma":[0.9900373,0.004120098,0.0008301854,0.003420234,0.001385469,0.0002067225],"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":[0.002570982,0.003659551,0.08434001,0.002396284,0.00321126,0.001653458,0.02408504,0.004481567,0.00136988,0.3972537,0.01940757,0.4555707],"study_design_scores_gemma":[0.004317754,0.002862045,0.5185841,0.09425999,0.0002800421,0.000628746,0.00005558293,0.262886,0.01778681,0.04886073,0.0436577,0.005820516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6083406,0.003984307,0.3637009,0.003209699,0.01293937,0.002429609,0.003661871,0.000899392,0.0008342108],"genre_scores_gemma":[0.8373905,0.0004008356,0.1596161,0.0002197606,0.001299142,0.0003317607,0.000661504,0.00003220797,0.00004817412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4497502,"threshold_uncertainty_score":0.9998106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305482791023062,"score_gpt":0.3255042606151838,"score_spread":0.3024494327049532,"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."}}