{"id":"W4308561923","doi":"","title":"Elicited Imitation Task as a Way to Measure Multilingual Children’s Language Proficiency","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Imitation; Task (project management); Measure (data warehouse); Natural language processing; Artificial intelligence; Psychology; Engineering; Database; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001567054,0.000827633,0.0004780746,0.0005862648,0.0002175415,0.0005815618,0.0005850735,0.001075682,0.004759901],"category_scores_gemma":[0.007676783,0.0001771636,0.0003000385,0.0002560868,0.0003626342,0.0007516594,0.001074158,0.0009520366,0.001365467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149225,"about_ca_system_score_gemma":0.0007933964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799654,"about_ca_topic_score_gemma":0.00284282,"domain_scores_codex":[0.998087,0.0006707357,0.0002688584,0.0004091693,0.0004368353,0.0001274026],"domain_scores_gemma":[0.995915,0.001681422,0.0005003351,0.0005357114,0.001019212,0.000348287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001993941,0.001333882,0.06269018,0.001055661,0.000155702,0.002094713,0.00386974,0.001005914,0.7992945,0.002602095,0.003144665,0.120759],"study_design_scores_gemma":[0.0004958185,0.007055434,0.5422741,0.0002264867,0.000372641,0.007334553,0.003555643,0.01405123,0.403984,0.001849231,0.01856678,0.000234128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407399,0.0003884015,0.03325192,0.0002067867,0.0001774427,0.0004673192,0.003564691,0.000619818,0.02058373],"genre_scores_gemma":[0.9630393,0.0002058745,0.02381746,0.0001662273,0.00002378498,0.0008500667,0.001796803,0.000102918,0.009997691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004759901,"threshold_uncertainty_score":0.0159235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558440140260869,"score_gpt":0.2646823449955067,"score_spread":0.239097943592898,"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."}}