{"id":"W4401477036","doi":"10.1016/j.acorp.2024.100102","title":"How is L2 pair interaction related to fluency and language use? A quantitative approach","year":2024,"lang":"en","type":"article","venue":"Applied Corpus Linguistics","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Concordia University; Northern Arizona University","keywords":"Interactivity; Fluency; Psychology; Test (biology); Cognitive psychology; Construct (python library); Salient; Computer science; Social psychology; Linguistics; Multimedia; Artificial intelligence; Mathematics education","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001158844,0.0001990894,0.0001909692,0.0001483304,0.0002133909,0.001368823,0.0001751996,0.00006214758,0.00009368436],"category_scores_gemma":[0.000286802,0.0001733635,0.00004513137,0.0001063066,0.0001772315,0.00010955,0.00009854363,0.0003025226,0.0001110171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004055784,"about_ca_system_score_gemma":0.00003992108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206327,"about_ca_topic_score_gemma":0.0001233398,"domain_scores_codex":[0.9990493,0.00003674308,0.0002271115,0.0003186876,0.000170687,0.0001974889],"domain_scores_gemma":[0.9990299,0.0002933578,0.0000721844,0.0003544658,0.0001764572,0.00007357851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001745827,0.00003347388,0.00001216501,0.00006950645,0.00007322902,0.00001134475,0.1626489,0.00000718859,0.0002227368,0.8321316,0.002561918,0.002210546],"study_design_scores_gemma":[0.0003110054,0.000130466,0.00005551802,0.0001589128,0.0001734445,0.00001166543,0.2785476,0.002518866,0.0005469411,0.02553593,0.6913945,0.0006151796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2147117,0.005335911,0.002281824,0.00162914,0.002815931,0.001247835,0.0003915242,0.001419193,0.7701669],"genre_scores_gemma":[0.9871353,0.00004366725,0.003883252,0.0002861488,0.0003307968,0.0000580969,0.00009858103,0.00004625396,0.00811792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8065956,"threshold_uncertainty_score":0.9996678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452157518937409,"score_gpt":0.3064692727569605,"score_spread":0.2519476975675864,"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."}}