{"id":"W2626283152","doi":"10.6000/1927-5129.2017.13.52","title":"Statistical Analysis to Explore the Factors of ICT that Effect and Promote Global Citizenship among Undergraudate Students: A Case Study of Karachi","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; Exploratory factor analysis; Information and Communications Technology; Citizenship; Global citizenship; Globalization; Construct (python library); Reliability (semiconductor); Confirmatory factor analysis; Psychology; Political science; Statistics; Mathematics; Structural equation modeling; Descriptive statistics; Computer 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":[0.00273359,0.0001206025,0.0003906198,0.000102231,0.001161423,0.0003933517,0.0008494337,0.00003766974,0.00001713351],"category_scores_gemma":[0.000733741,0.0000643609,0.00009059035,0.0005122288,0.001224265,0.0002036698,0.0001155476,0.0001118333,5.613628e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005877244,"about_ca_system_score_gemma":0.0001165389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005445811,"about_ca_topic_score_gemma":0.00630803,"domain_scores_codex":[0.9977078,0.0002890484,0.0003815215,0.0001929536,0.001209465,0.0002191706],"domain_scores_gemma":[0.998221,0.0003385454,0.0008150389,0.0001985874,0.0002002685,0.0002265621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003861215,0.000277118,0.9014189,0.00000805361,0.0003489354,0.00003560053,0.09542186,0.00005635571,0.00005867078,0.001169922,0.0001026521,0.001063301],"study_design_scores_gemma":[0.0003650372,0.0004002297,0.7340506,0.00001429266,0.0004139633,0.00001048211,0.2642535,0.000008179183,0.00006642123,0.0003280802,0.00001727472,0.00007202334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980823,0.00002120825,0.00005307545,0.0004274067,0.0002145546,0.0004477913,0.00000886503,0.000003943701,0.0007408897],"genre_scores_gemma":[0.9997465,0.000009107419,0.0001659027,0.00002529734,0.00003469427,0.000005097961,2.220743e-7,0.000001941742,0.00001124572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1688316,"threshold_uncertainty_score":0.8932844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08533614481535093,"score_gpt":0.4215885764207969,"score_spread":0.3362524316054459,"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."}}