{"id":"W2166155486","doi":"10.3138/cmlr.57.2.217","title":"Assessing Language Proficiency of FSL Teacher Candidates: What Makes a Successful Candidate?","year":2000,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Psychology; Language proficiency; Mathematics education; Test (biology); Order (exchange); Medical education; Pedagogy; Computer science; Medicine; Artificial intelligence; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008521841,0.0004542006,0.0007827989,0.0003389944,0.0005095588,0.0006300958,0.0005895221,0.0001210762,0.007257037],"category_scores_gemma":[0.0003424837,0.0004047831,0.0002260523,0.0002035385,0.0004532907,0.001032928,0.00002972695,0.0005159536,0.00008833481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755353,"about_ca_system_score_gemma":0.0002944108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4690594,"about_ca_topic_score_gemma":0.784411,"domain_scores_codex":[0.9971793,0.0003925492,0.0006166024,0.0005688239,0.0001647693,0.001078013],"domain_scores_gemma":[0.9981202,0.0001577484,0.0002397643,0.0006789654,0.0001334278,0.0006698402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001712933,0.00008987593,0.002573041,0.005500915,0.0001853119,0.002115494,0.5115655,0.00003433415,0.001976213,0.001802966,0.002035824,0.4721034],"study_design_scores_gemma":[0.001362504,0.0003386183,0.006015539,0.04982157,0.0009446004,0.001182032,0.3211517,0.003877339,0.0003998998,0.0004783206,0.6108661,0.00356177],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8392487,0.1272973,0.00001028336,0.0004032942,0.0001666662,0.0004005964,0.0002128203,0.0001183644,0.03214198],"genre_scores_gemma":[0.9754977,0.005871613,0.0001361353,0.0007904625,0.0004671472,0.00004978119,0.0003461967,0.0001062794,0.01673473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6088303,"threshold_uncertainty_score":0.9998404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744794182998322,"score_gpt":0.255454741460254,"score_spread":0.2380067996302708,"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."}}