{"id":"W2750946399","doi":"10.5539/jel.v7n1p42","title":"Information Technology and Transcription of Reading Materials for the Visually Impaired Persons in Nigeria","year":2017,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transcription (linguistics); Descriptive statistics; Information technology; Descriptive research; Psychology; Medical education; Applied psychology; Computer science; Medicine; Social science; Statistics; Sociology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086756,0.00002498562,0.00006921577,0.0001373283,0.0004309019,0.00008043921,0.00005952582,0.00004052614,0.00001309206],"category_scores_gemma":[0.0006107996,0.00001766797,0.0000108834,0.00003319984,0.00007658482,0.000398744,0.000004621987,0.00006845248,1.152173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002186473,"about_ca_system_score_gemma":0.0001340766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005784786,"about_ca_topic_score_gemma":0.00007998761,"domain_scores_codex":[0.9996701,0.00003985727,0.00015223,0.00001935856,0.00006714441,0.00005124979],"domain_scores_gemma":[0.9994978,0.00005447162,0.0003041448,0.00002219296,0.0001045076,0.00001689462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001310907,0.00006803649,0.0413897,0.0001032752,0.0000428053,1.692852e-7,0.5511602,0.000006186794,0.0342674,0.02022853,0.001014928,0.3515877],"study_design_scores_gemma":[0.0006565601,0.0001740131,0.3517068,0.0002987973,0.00002249706,0.00001033368,0.5698313,0.00002630202,0.001067128,0.001685007,0.07442589,0.00009536202],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892933,0.0002945282,0.0001036863,0.009316274,0.0003252279,0.00007858845,2.428717e-7,0.000002325983,0.0005857753],"genre_scores_gemma":[0.9985822,0.0007623415,0.0002673536,0.00001877707,0.00006226809,0.000002455803,3.110437e-7,0.000001174736,0.0003031618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3514923,"threshold_uncertainty_score":0.3314192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741152701715594,"score_gpt":0.3318868441287162,"score_spread":0.3044753171115603,"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."}}