{"id":"W2136032139","doi":"10.5539/elt.v7n4p1","title":"Lexical Bundles: Facilitating University “Talk” in Group Discussions","year":2014,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexis; Linguistics; Variety (cybernetics); Psychology; Lexical item; Automaticity; Meaning (existential); Computer science; Cognition; Artificial intelligence","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":[0.004684799,0.000638605,0.0004561113,0.002338992,0.002714505,0.003462987,0.001285368,0.000978426,0.006748268],"category_scores_gemma":[0.02610695,0.0004233253,0.0003817329,0.001458121,0.001531135,0.005618105,0.007880885,0.0008121754,0.001754074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007895044,"about_ca_system_score_gemma":0.001019415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003344392,"about_ca_topic_score_gemma":0.0007617064,"domain_scores_codex":[0.9942501,0.004230011,0.000246345,0.0005918677,0.0004297284,0.0002519883],"domain_scores_gemma":[0.9828461,0.01218321,0.0012671,0.001599091,0.0005782778,0.001526167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001942948,0.001384395,0.03460507,0.001523388,0.00006202484,0.001634404,0.3365048,0.001004977,0.08101752,0.01817182,0.009458673,0.51269],"study_design_scores_gemma":[0.0006800835,0.003213471,0.1491646,0.001664005,0.0003900355,0.004001058,0.2594595,0.02397929,0.0747368,0.06381574,0.4183994,0.0004961392],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782684,0.0005102546,0.09434694,0.000817184,0.0001483234,0.001006179,0.0004428468,0.002880689,0.02157922],"genre_scores_gemma":[0.9225938,0.0002322789,0.07020768,0.0001381004,0.00008334629,0.001062706,0.0004898968,0.000396732,0.004795379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006748268,"threshold_uncertainty_score":0.02477592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169952595958793,"score_gpt":0.240158937236935,"score_spread":0.2284594112773471,"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."}}