{"id":"W2119111309","doi":"10.7202/603128ar","title":"Analyse de l’intelligibilité de textes prescriptifs","year":2009,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Valleyfield; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00341,0.0005807829,0.0005630557,0.002752961,0.000734387,0.003768801,0.0004618653,0.0005866885,0.007259571],"category_scores_gemma":[0.02208273,0.0002579493,0.0004372754,0.002171338,0.001818436,0.003521492,0.0008417921,0.001017281,0.001381788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134588,"about_ca_system_score_gemma":0.0007889629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002887362,"about_ca_topic_score_gemma":0.001995538,"domain_scores_codex":[0.996774,0.001255311,0.0002047478,0.0004825495,0.001178836,0.0001044812],"domain_scores_gemma":[0.9679745,0.02410337,0.001206829,0.001645,0.004859596,0.0002106317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001462788,0.0001894792,0.02340246,0.002203966,0.0002165981,0.001528771,0.07159092,0.009917038,0.1598102,0.06543738,0.004066652,0.6601738],"study_design_scores_gemma":[0.0002484769,0.001260151,0.2364425,0.001265452,0.0005727875,0.006180084,0.0596963,0.1092889,0.2777026,0.0944455,0.2124965,0.0004007998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6923874,0.003435836,0.236104,0.001355948,0.00009125743,0.0002029452,0.001214877,0.00103096,0.06417674],"genre_scores_gemma":[0.9403726,0.001079765,0.0475561,0.00008807374,0.00006023849,0.0001396234,0.0007757818,0.0003488949,0.009578932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007259571,"threshold_uncertainty_score":0.02428573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370346561832159,"score_gpt":0.2973335498781101,"score_spread":0.2736300842597885,"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."}}