{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033718,0.0001781871,0.0002840307,0.0001415074,0.0001050336,0.00004519947,0.0003572422,0.00004289872,0.000879395],"category_scores_gemma":[0.0002172089,0.0001106433,0.00011096,0.00005587576,0.0007989972,0.0005037463,0.00009153486,0.0001007282,0.00003753862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003127674,"about_ca_system_score_gemma":0.00009339616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006504764,"about_ca_topic_score_gemma":0.01048853,"domain_scores_codex":[0.9986941,0.000110373,0.0004444711,0.0002448256,0.0002345925,0.0002716555],"domain_scores_gemma":[0.9988902,0.0002649635,0.0001939209,0.0004838254,0.0001245003,0.00004264942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002658062,0.001317377,0.04378541,0.0002658098,0.0002014087,0.00005971459,0.2729601,0.00003598894,0.005267839,0.5936361,0.005845498,0.07635891],"study_design_scores_gemma":[0.005872092,0.0004892669,0.04652925,0.002654193,0.0001562447,0.00001103821,0.61273,0.0002011986,0.02996876,0.01354994,0.2859944,0.001843628],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555827,0.0009713344,0.000008302703,0.0007944091,0.0002781768,0.0001744392,0.0001458794,0.0001651449,0.04187958],"genre_scores_gemma":[0.9945609,0.00007292787,0.0003476026,0.00009079207,0.0001577635,0.0000219154,0.000008535048,0.0000227542,0.004716807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5800862,"threshold_uncertainty_score":0.9628758,"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."}}