{"id":"W2591491829","doi":"10.29173/md28572","title":"Instances of Repair in Oral Exam Settings","year":2016,"lang":"en","type":"article","venue":"Multilingual Discourses","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"German; Conversation analysis; Conversation; Perception; Psychology; Linguistics; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441284,0.0004063503,0.0004306981,0.002192464,0.002604409,0.002960684,0.001240471,0.001595648,0.002859888],"category_scores_gemma":[0.02456654,0.000380178,0.0005359954,0.001339298,0.002644461,0.002726704,0.005244774,0.001212472,0.0005168124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185398,"about_ca_system_score_gemma":0.0006576274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530639,"about_ca_topic_score_gemma":0.003191897,"domain_scores_codex":[0.9936205,0.002736647,0.0006075475,0.0009523571,0.001476298,0.0006066327],"domain_scores_gemma":[0.9773866,0.01195726,0.005467687,0.002336691,0.001409948,0.001441873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003355525,0.0002195312,0.1347465,0.0007290693,0.00009043269,0.01098728,0.7339406,0.0004468102,0.01184313,0.007528197,0.002473136,0.09665982],"study_design_scores_gemma":[0.00002270845,0.0005992883,0.2569452,0.0006420515,0.00007262839,0.02649882,0.6440352,0.001567756,0.009008991,0.004451985,0.05592692,0.0002285359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894342,0.0006258881,0.003191458,0.0002230721,0.00004640224,0.00003657692,0.0001113654,0.0001080171,0.006223056],"genre_scores_gemma":[0.9968464,0.0002079568,0.00129489,0.00002533288,0.0000141976,0.00002311026,0.00009329596,0.00002069576,0.001474175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002960684,"threshold_uncertainty_score":0.0129109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05229485470786677,"score_gpt":0.3293944220849281,"score_spread":0.2770995673770613,"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."}}