{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00768672,0.0004725827,0.0007428178,0.006559015,0.0016492,0.002211006,0.0007177288,0.0004296997,0.008358695],"category_scores_gemma":[0.02802671,0.0002711047,0.001381834,0.009602452,0.001917274,0.00110726,0.00165212,0.001118095,0.0005283391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656209,"about_ca_system_score_gemma":0.005144553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007775182,"about_ca_topic_score_gemma":0.009920215,"domain_scores_codex":[0.9950411,0.001943598,0.0005037145,0.0004335876,0.001578549,0.0004993748],"domain_scores_gemma":[0.967894,0.02230159,0.002883632,0.0007809945,0.005571475,0.0005684376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003948582,0.0009507092,0.5965225,0.003301811,0.0005857273,0.006590853,0.06697836,0.004104263,0.005692393,0.01877815,0.01019232,0.2859081],"study_design_scores_gemma":[0.0000543561,0.001605571,0.7318336,0.001074371,0.0004613602,0.001690508,0.1957268,0.01557821,0.004818303,0.009381464,0.03761672,0.0001587783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411721,0.0006866754,0.03188265,0.002720779,0.0001565505,0.002416013,0.003013605,0.0002837873,0.01766779],"genre_scores_gemma":[0.9691167,0.0005050886,0.02466421,0.0001879656,0.00004349768,0.001836045,0.0006643425,0.00004241006,0.002939702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008358695,"threshold_uncertainty_score":0.04065174,"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."}}