{"id":"W4320161966","doi":"10.7202/1095682ar","title":"ILSA: an automated language complexity analysis tool for French","year":2021,"lang":"fr","type":"article","venue":"Mesure et évaluation en éducation","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Vocabulary; Natural language processing; Sentence; Artificial intelligence; Variance (accounting); Spectrum analyzer; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0007748787,0.001345585,0.0005012741,0.006422434,0.0005018383,0.00122447,0.0004866375,0.0003796752,0.01162797],"category_scores_gemma":[0.005910108,0.0003292032,0.0007805504,0.00203312,0.0003085886,0.001286767,0.0007014722,0.0005205602,0.003008072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362804,"about_ca_system_score_gemma":0.001487947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04652447,"about_ca_topic_score_gemma":0.04233089,"domain_scores_codex":[0.9992658,0.0002278205,0.00008127273,0.0001341644,0.0002481672,0.00004284578],"domain_scores_gemma":[0.9957841,0.002387998,0.0004464429,0.0002104924,0.00106699,0.0001039804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007356961,0.0004249489,0.07822054,0.001627492,0.0004046855,0.001014622,0.004656727,0.02093728,0.05679731,0.005235509,0.07041001,0.7595352],"study_design_scores_gemma":[0.0002492141,0.0007812719,0.2982755,0.0002976382,0.0002487738,0.001877815,0.001991904,0.4719143,0.04791873,0.005873017,0.170216,0.0003559073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2554184,0.0005723888,0.4948346,0.0004478366,0.000072403,0.001218728,0.06746306,0.168611,0.01136162],"genre_scores_gemma":[0.4298628,0.0003651404,0.4658219,0.0001355405,0.00007125371,0.001757606,0.08547768,0.004983154,0.01152494],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04652447,"threshold_uncertainty_score":0.0925073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296194640007061,"score_gpt":0.4205212441199161,"score_spread":0.29090178011921,"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."}}