{"id":"W2006766690","doi":"10.7202/602707ar","title":"Les bases de données textuelles et linguistiques à Sherbrooke : une banque en développement","year":2009,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Art; Philosophy","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":[0.01265584,0.0009175303,0.001042441,0.01181781,0.007180535,0.008328738,0.002377716,0.001461899,0.01248297],"category_scores_gemma":[0.0343811,0.000996273,0.0008439919,0.01598484,0.004257436,0.005447699,0.003690103,0.002185096,0.002579411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03243981,"about_ca_system_score_gemma":0.06664734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9276777,"about_ca_topic_score_gemma":0.9456977,"domain_scores_codex":[0.9894476,0.002420889,0.0008049404,0.001548684,0.005272374,0.0005055147],"domain_scores_gemma":[0.9504531,0.0147323,0.001366639,0.005360972,0.0267846,0.001302363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003501074,0.0001567295,0.03760568,0.003240471,0.0002938942,0.001199605,0.05404438,0.004047208,0.02710381,0.04386543,0.06977095,0.7583219],"study_design_scores_gemma":[0.00003049393,0.00005234072,0.0441883,0.001541609,0.0001194244,0.0003232505,0.01447472,0.002435475,0.01213202,0.002977954,0.9215506,0.0001738091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3324931,0.07312325,0.304286,0.03762199,0.001601364,0.003338896,0.05719482,0.005079593,0.185261],"genre_scores_gemma":[0.4400167,0.04261108,0.337227,0.003620235,0.0003096109,0.001741533,0.04866717,0.002712754,0.1230938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07232231,"threshold_uncertainty_score":0.2353684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488918641162656,"score_gpt":0.3230391334375349,"score_spread":0.2881499470259083,"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."}}