{"id":"W2527465942","doi":"10.5539/jel.v6n1p27","title":"An Investigation of the Variables Predicting Faculty of Education Students’ Speaking Anxiety through Ordinal Logistic Regression Analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Educational Leadership and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Ordered logit; Ordinal regression; Logistic regression; Anxiety; Scale (ratio); Regression analysis; Variables; Population; Public university; Self-efficacy; Mathematics education; Medical education; Social psychology; Statistics; Demography; Medicine; Mathematics; Sociology","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":[0.001637439,0.00006994352,0.0001532612,0.0001386377,0.0003614683,0.00005276039,0.0001953773,0.00006552312,0.00006489641],"category_scores_gemma":[0.001363151,0.00004265223,0.00007790781,0.0005490697,0.0001944653,0.0006065597,0.00001172876,0.0001668328,2.691914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009590852,"about_ca_system_score_gemma":0.001658064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004786676,"about_ca_topic_score_gemma":0.0001133367,"domain_scores_codex":[0.9982655,0.000603075,0.0004437423,0.000109261,0.0004862623,0.00009212928],"domain_scores_gemma":[0.9976311,0.0002431438,0.001283468,0.00008984577,0.0006745524,0.00007793269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001258798,0.0001575543,0.9416426,0.00002149946,0.00005046968,1.884548e-8,0.04283775,0.00008926218,0.003404746,0.003646575,0.00007882178,0.008058159],"study_design_scores_gemma":[0.0001343816,0.00008823216,0.8511423,0.0004929469,0.0002647487,0.000004064883,0.1439023,0.00002431153,0.0007162674,0.001785406,0.001374081,0.00007091328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949493,0.000123963,0.001127057,0.002580372,0.0005095061,0.0000753312,0.000001305178,0.000004525885,0.0006285887],"genre_scores_gemma":[0.9970799,0.00006710493,0.001826517,0.00006195434,0.0004305443,0.00000198678,0.000007140023,0.000004189275,0.0005206491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1010646,"threshold_uncertainty_score":0.2941334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07855454045359123,"score_gpt":0.4187687312297187,"score_spread":0.3402141907761275,"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."}}