{"id":"W1973461877","doi":"10.5539/ass.v10n22p48","title":"Measurement Dimensions for Arabic Language Teachers in Malaysia","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dimension (graph theory); Quality (philosophy); Arabic; Mathematics education; Class (philosophy); Set (abstract data type); Diversity (politics); Thematic analysis; Process (computing); Computer science; Language teacher; Qualitative research; Language education; Psychology; Pedagogy; Sociology; Linguistics; Mathematics; Artificial intelligence; 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":[0.002822005,0.00005848533,0.00009558773,0.00008027145,0.00104345,0.00005769049,0.0002683731,0.00003659075,0.00002571311],"category_scores_gemma":[0.001232046,0.00005608755,0.00003896587,0.0006429248,0.0007649922,0.0001542212,0.00002751983,0.00006345823,0.00001928687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274632,"about_ca_system_score_gemma":0.000310003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006971186,"about_ca_topic_score_gemma":0.002007029,"domain_scores_codex":[0.9986902,0.00009621123,0.0001123743,0.0002076731,0.0005245003,0.0003690078],"domain_scores_gemma":[0.9996469,0.00003802642,0.0000471844,0.00007785196,0.0001217689,0.00006828824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000003129236,0.00009072494,0.008716095,0.000004502421,0.000004800349,2.437034e-7,0.4878433,5.804241e-7,0.002450764,0.3193966,0.003959963,0.1775293],"study_design_scores_gemma":[0.0006613497,0.00005679997,0.4162763,0.00004361921,0.00001640313,2.004527e-7,0.4175392,0.00004656816,0.0003235082,0.01256871,0.1520593,0.0004080604],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2404777,0.00007552956,0.0002955856,0.0167882,0.0006906592,0.0004019169,0.000001611581,0.00006255657,0.7412062],"genre_scores_gemma":[0.9984925,0.000005246086,0.0002608754,0.0003810677,0.0002677967,0.0000395078,3.270695e-7,0.00000367665,0.0005489624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7580148,"threshold_uncertainty_score":0.8025481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614162983520038,"score_gpt":0.3483287374369879,"score_spread":0.3121871076017876,"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."}}