{"id":"W2126895265","doi":"10.5539/ies.v8n3p202","title":"The Usability of SEEQ in Quality Evaluation of Arabic Secondary Education in Malaysia","year":2015,"lang":"en","type":"article","venue":"International Education Studies","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; Usability; Arabic; Confirmatory factor analysis; Context (archaeology); Psychology; Quality (philosophy); Reliability (semiconductor); Mathematics education; Medical education; Computer science; Mathematics; Statistics; Psychometrics; Structural equation modeling; Geography; Medicine; Clinical psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006568205,0.00008109562,0.0001891643,0.0002045744,0.00009049407,0.00001737921,0.0002526103,0.0000421074,0.000056291],"category_scores_gemma":[0.01158863,0.00006868374,0.00004417535,0.000426145,0.0004606131,0.0002485191,0.00004808337,0.0001003115,0.000006872345],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008929553,"about_ca_system_score_gemma":0.006471385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005357817,"about_ca_topic_score_gemma":0.01146045,"domain_scores_codex":[0.9974732,0.0007229216,0.0006800473,0.0001793836,0.0008239007,0.0001205712],"domain_scores_gemma":[0.9934374,0.0006100854,0.0003817836,0.0001731467,0.005365617,0.0000319844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003599317,0.0008263129,0.7468171,0.00002863668,0.00005538365,1.304312e-8,0.08292214,0.00009408721,0.00002837749,0.06304231,0.005882844,0.1002669],"study_design_scores_gemma":[0.0002911988,0.00001107498,0.6237478,0.00006465549,0.00001105392,1.654051e-7,0.3107999,0.00003512698,0.00006058612,0.05154472,0.01336492,0.00006885199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294756,0.004637739,0.000002476738,0.007502939,0.004545933,0.0003297167,0.000003919686,0.000006373114,0.0534953],"genre_scores_gemma":[0.9969329,0.0007105751,0.0001604007,0.0001062164,0.0001649592,0.0001855197,0.000008752834,0.000003634299,0.001727099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2278777,"threshold_uncertainty_score":0.999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190453265588477,"score_gpt":0.5433540850465759,"score_spread":0.3243087584877282,"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."}}