{"id":"W2803541200","doi":"10.4000/books.pum.9951","title":"À l’école des utilisateurs de dictionnaires : une analyse de quelques dictionnaires scolaires québécois","year":2008,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.0009883874,0.0003209136,0.0003371904,0.003843716,0.007979323,0.007784612,0.000744573,0.000662193,0.01191601],"category_scores_gemma":[0.002797597,0.0003322955,0.000233407,0.01033849,0.005840257,0.003078797,0.001859359,0.001093267,0.001126785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03279697,"about_ca_system_score_gemma":0.03530697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9446185,"about_ca_topic_score_gemma":0.9809507,"domain_scores_codex":[0.998711,0.0002197643,0.00004612747,0.0001664157,0.0005508958,0.0003058559],"domain_scores_gemma":[0.996534,0.0007907843,0.000320222,0.0001383318,0.001712057,0.0005045335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000134304,0.00005571991,0.1086493,0.0007691881,0.00006898855,0.001512488,0.4039285,0.0006574811,0.002277262,0.1770671,0.06618038,0.2386993],"study_design_scores_gemma":[0.000006488835,0.00001927488,0.3655713,0.0005323702,0.00002433939,0.0003341325,0.1014432,0.0003562725,0.0003915858,0.002119481,0.5291604,0.00004102549],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5512358,0.01799351,0.004025307,0.01998448,0.0001590897,0.00008152673,0.001890966,0.0001131802,0.4045161],"genre_scores_gemma":[0.8655255,0.007222672,0.002376847,0.0009624381,0.00004321377,0.00004508992,0.0009053214,0.0001673998,0.1227514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05538154,"threshold_uncertainty_score":0.2379598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341781280985471,"score_gpt":0.1848500367188883,"score_spread":0.1714322239090336,"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."}}