{"id":"W2911613139","doi":"10.5539/ijel.v9n2p52","title":"Evaluating the English Proficiency of Faculty Members of a Higher Education Institution: Using Results to Develop Responsive Professional Development Program","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institution; Workforce; Higher education; Medical education; Psychology; Publishing; Tertiary institution; Professional development; Academic institution; Faculty development; Pedagogy; Mathematics education; Sociology; Political science; Medicine; Computer science; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01756032,0.0003915717,0.000311444,0.003067821,0.001018155,0.002111539,0.0009312176,0.0003108567,0.002063104],"category_scores_gemma":[0.02945186,0.0002012335,0.0003460668,0.001213359,0.0003814517,0.001100414,0.001391263,0.0005130593,0.0006940094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739074,"about_ca_system_score_gemma":0.003771785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524066,"about_ca_topic_score_gemma":0.005094795,"domain_scores_codex":[0.993662,0.003587471,0.0006357504,0.0003115108,0.001346038,0.0004573068],"domain_scores_gemma":[0.9772323,0.006995912,0.003245361,0.0007690529,0.009685718,0.002071682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004086641,0.002718734,0.5625591,0.0006185024,0.00006298823,0.0004572907,0.02556298,0.0007525154,0.007417664,0.0004169447,0.002072097,0.3969525],"study_design_scores_gemma":[0.0000599946,0.004500039,0.8868718,0.0004446312,0.0001208997,0.0002616832,0.07584268,0.003171735,0.01970152,0.0005833909,0.008354569,0.00008710975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781938,0.0001361199,0.006059256,0.0005219575,0.00002650432,0.001193806,0.0002300982,0.000177707,0.01346085],"genre_scores_gemma":[0.9712108,0.0002030846,0.02543411,0.00009479628,0.00001112356,0.0006411042,0.0001812158,0.00001866676,0.002205212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756032,"threshold_uncertainty_score":0.09286892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508440235382063,"score_gpt":0.5434239321087329,"score_spread":0.3925799085705265,"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."}}