{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004221975,0.000213861,0.0002676966,0.0007345246,0.0007638359,0.001036788,0.0003096599,0.0006311469,0.004345599],"category_scores_gemma":[0.001282957,0.0002787736,0.0002820306,0.0005368103,0.0004231546,0.0007802295,0.0005856343,0.0009461399,0.0008093629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676782,"about_ca_system_score_gemma":0.0007970751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006735349,"about_ca_topic_score_gemma":0.01192308,"domain_scores_codex":[0.9997347,0.00003041487,0.00003208413,0.00003299564,0.0000622915,0.0001074588],"domain_scores_gemma":[0.9985649,0.0001826385,0.0004927084,0.00003983951,0.0001628545,0.0005570796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000235989,0.0002249746,0.9906955,0.00002893618,0.000006961918,0.0002099591,0.003955164,0.00002508764,0.000474535,0.00005239881,0.0002108129,0.004092055],"study_design_scores_gemma":[0.00000178686,0.0002889289,0.9904938,0.00002931794,0.000006948046,0.0002718231,0.008093793,0.00009365507,0.0001625076,0.0000409477,0.0005078647,0.000008652691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994963,0.00003464591,0.000007554726,0.00005900385,0.000001575855,0.000004235417,0.00003014433,0.000001216455,0.0003653011],"genre_scores_gemma":[0.9992726,0.00006913894,0.00001714275,0.00003184797,0.000001712955,0.000005285682,0.00003937705,6.761054e-7,0.0005622731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006735349,"threshold_uncertainty_score":0.01453745,"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."}}