{"id":"W2074983378","doi":"10.5539/ass.v5n3p77","title":"Readiness for Life Long Learning and Computer Literacy among Students in Technical Institute in Malaysia","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Education and Vocational Training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Lifelong learning; Literacy; Scale (ratio); Computer literacy; Human resources; Work (physics); Business; Institution; Knowledge management; Psychology; Mathematics education; Sociology; Computer science; Pedagogy; Engineering; Management; Economics; Social science","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":[0.001647276,0.00006198053,0.0001064471,0.0001640726,0.000607366,0.000253128,0.0003051322,0.00005302348,0.000006272524],"category_scores_gemma":[0.0004485938,0.00006760359,0.00001897411,0.001061212,0.0007155649,0.0008052053,0.00003406816,0.0001501949,0.000001895447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143565,"about_ca_system_score_gemma":0.00031576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565039,"about_ca_topic_score_gemma":0.0005117837,"domain_scores_codex":[0.9988382,0.00006615897,0.0001794156,0.0002509471,0.0003674756,0.0002978162],"domain_scores_gemma":[0.9996376,0.00006796802,0.00006124632,0.00003716997,0.00008042571,0.0001155662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006436162,0.000103556,0.7185224,0.000004076081,8.938004e-7,0.00000320697,0.04858933,0.00000675594,0.00002850734,0.1053759,0.00003486599,0.1273241],"study_design_scores_gemma":[0.0002066565,0.00001864253,0.9929547,0.00003529009,0.00000107473,3.017506e-7,0.004066862,0.0000998528,0.000001370669,0.001601954,0.0009275657,0.00008571857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599268,0.00001446266,0.001031795,0.005040554,0.0002239813,0.0003281731,4.465159e-7,0.00003888891,0.03339494],"genre_scores_gemma":[0.9980057,0.000007274136,0.001185337,0.0003452378,0.000284791,0.00001698914,0.000001905354,0.000002587887,0.0001501911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744323,"threshold_uncertainty_score":0.467143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512374507815494,"score_gpt":0.4263166565240613,"score_spread":0.3911929114459064,"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."}}