{"id":"W2051479553","doi":"10.1108/1759751x201100017","title":"Examining research productivity of Chinese TEFL academics across departments and institutes","year":2010,"lang":"en","type":"article","venue":"International Journal for Researcher Development","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Park","funders":"","keywords":"Productivity; Descriptive statistics; Perception; Psychology; Survey research; Mathematics education; Medical education; Political science; Pedagogy; Medicine; Applied psychology; Mathematics; Economic growth; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0124425,0.0002944559,0.00039483,0.008531826,0.001744838,0.002978338,0.0006992845,0.0003358538,0.001946595],"category_scores_gemma":[0.02444909,0.0001605587,0.0003009593,0.008768348,0.001222574,0.001547014,0.002128705,0.0003200034,0.0003242893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003972164,"about_ca_system_score_gemma":0.005356926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307162,"about_ca_topic_score_gemma":0.01462237,"domain_scores_codex":[0.9962404,0.000758443,0.0005738524,0.0004093917,0.00128988,0.0007281121],"domain_scores_gemma":[0.9581815,0.012778,0.01050432,0.001804114,0.01080485,0.005927255],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001075544,0.00006871951,0.9186336,0.0001441609,0.0000396626,0.000234639,0.0250835,0.000196548,0.002066889,0.0006490897,0.0005710905,0.05220465],"study_design_scores_gemma":[0.000009737484,0.00015487,0.9605698,0.00003652109,0.00002549502,0.0001583725,0.03520737,0.0005373272,0.0008303716,0.0002842534,0.002159409,0.00002654737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973351,0.0001901565,0.0001757097,0.0002769366,0.000006849658,0.00001277481,0.00009916398,0.00000851163,0.001894658],"genre_scores_gemma":[0.9988432,0.0001892016,0.0002136581,0.00004223184,0.00001190202,0.00001657628,0.0001054559,0.000002180995,0.0005755805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9914682,"threshold_uncertainty_score":0.06580299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2197011926940751,"score_gpt":0.5334180405463937,"score_spread":0.3137168478523186,"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."}}