{"id":"W4405009599","doi":"10.1016/j.jeap.2024.101465","title":"A multi-dimensional analysis of thesis abstracts: Variation across academic levels and L1 backgrounds","year":2024,"lang":"en","type":"article","venue":"Journal of English for Academic Purposes","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centennial College","funders":"","keywords":"Variation (astronomy); English for academic purposes; Mathematics education; Computer science; Sociology; Linguistics; Psychology; Physics; Philosophy; Astronomy","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"],"consensus_categories":[],"category_scores_codex":[0.01008553,0.000402742,0.0005236436,0.01522508,0.002124764,0.006496269,0.0007564833,0.0007749876,0.005239393],"category_scores_gemma":[0.1061675,0.0002256858,0.0006975998,0.01024626,0.0009520099,0.001920103,0.004969108,0.0007639658,0.001680996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678257,"about_ca_system_score_gemma":0.001848013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571778,"about_ca_topic_score_gemma":0.002610157,"domain_scores_codex":[0.9870241,0.004433603,0.002617384,0.0008901787,0.004558873,0.0004759343],"domain_scores_gemma":[0.8525522,0.07524616,0.03185539,0.003278543,0.03221219,0.004855562],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001249149,0.0005012629,0.6285643,0.002019323,0.0005427884,0.0006486713,0.1361831,0.0004004714,0.01940896,0.002923812,0.01251232,0.1950458],"study_design_scores_gemma":[0.00002640063,0.0002386904,0.9196678,0.0004133978,0.0001081618,0.0005583072,0.05760523,0.0009219407,0.001995427,0.001111427,0.01724266,0.000110648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817885,0.0008230076,0.002779119,0.0006870665,0.0001200757,0.0002190358,0.002436529,0.0001036247,0.01104302],"genre_scores_gemma":[0.9892489,0.0004736765,0.004030814,0.0001032052,0.0001577628,0.0004084416,0.002607898,0.00007634027,0.002892911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9899145,"threshold_uncertainty_score":0.05333799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06022229784542487,"score_gpt":0.349916375220569,"score_spread":0.2896940773751441,"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."}}