{"id":"W4245454245","doi":"10.1017/cnj.2021.24","title":"National Achievement Award, Canadian Linguistic Association Prix national d'excellence, Association canadienne de linguistique 2021","year":2021,"lang":"fr","type":"article","venue":"The Canadian Journal of Linguistics / La revue canadienne de linguistique","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Association (psychology); Content (measure theory); Linguistics; Political science; Action (physics); Applied linguistics; Library science; Psychology; Sociology; Media studies; Computer science; Law; Philosophy; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01057591,0.001034548,0.001628966,0.004672739,0.01245129,0.009120357,0.002987572,0.0089164,0.2036808],"category_scores_gemma":[0.02135101,0.0007719065,0.00113462,0.003310692,0.003287153,0.004231232,0.008173869,0.007242888,0.0571268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03717384,"about_ca_system_score_gemma":0.243261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8044037,"about_ca_topic_score_gemma":0.9139227,"domain_scores_codex":[0.9889783,0.0003904925,0.0004188905,0.0007436899,0.007659304,0.001809365],"domain_scores_gemma":[0.9484109,0.001367805,0.0003738024,0.0009197713,0.03395952,0.0149682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002318038,0.00002520587,0.0004603731,0.00003669707,0.00000446258,0.00004163681,0.0001074836,0.00002524629,0.00003904521,0.005595316,0.9821041,0.0115372],"study_design_scores_gemma":[0.00003377398,0.00001357632,0.003883811,0.0001410128,0.00001097079,0.00006329155,0.0006965867,0.0001611005,0.00003873103,0.00180825,0.99313,0.00001882776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002956953,0.007927807,0.001051459,0.4459711,0.1127081,0.000463093,0.008841287,0.0004989023,0.4195812],"genre_scores_gemma":[0.01093844,0.003685335,0.002123033,0.01171165,0.005278171,0.0002180608,0.004298319,0.0001768085,0.9615703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2036808,"threshold_uncertainty_score":0.6813802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520923496132166,"score_gpt":0.3373011146453197,"score_spread":0.312091879683998,"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."}}