{"id":"W2789206077","doi":"10.22215/etd/2017-12110","title":"An Investigation of Spoken Lexical Bundles in Interactive Academic Contexts","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Linguistics; Computer science; Taxonomy (biology); Bundle; English for academic purposes; Natural language processing; Artificial intelligence; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002655953,0.000168308,0.0003168847,0.0003029794,0.00004364253,0.00002323193,0.0002866428,0.000590158,0.03883101],"category_scores_gemma":[0.0001019702,0.0001632287,0.00006500784,0.00005523685,0.00005830615,0.0002261855,0.000006165659,0.0008607431,0.0001708676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003327061,"about_ca_system_score_gemma":0.00005802308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120307,"about_ca_topic_score_gemma":0.0007131878,"domain_scores_codex":[0.9987656,0.0002355171,0.0003908103,0.0003252713,0.0001232472,0.0001595941],"domain_scores_gemma":[0.998917,0.0001287089,0.0004725906,0.0003346252,0.00007474318,0.00007229703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.004034007,0.0004758349,0.05794916,0.0003771636,0.0004761899,0.0002591678,0.5265213,0.00001413136,0.05716379,0.04856388,0.007320827,0.2968446],"study_design_scores_gemma":[0.001055652,0.000213136,0.922645,0.000428835,0.00003702676,0.00001115054,0.06765501,0.00003326687,0.005690551,0.001203484,0.0006806023,0.000346267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989339,0.001027492,0.000007415894,0.00003838112,0.0006598108,0.0001772304,0.000007872566,0.00003315058,0.09911469],"genre_scores_gemma":[0.9714721,0.000007036046,0.00003626117,0.0007297418,0.0001636414,0.00002988079,0.001357124,0.00002637339,0.02617777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8646958,"threshold_uncertainty_score":0.9620476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862631178128051,"score_gpt":0.4077715305599049,"score_spread":0.3791452187786244,"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."}}