{"id":"W2058455545","doi":"10.7202/012248ar","title":"Un ensemble de ressources de référence pour l’étude du français : tlfi, frantext et le logiciel stella","year":2006,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008401096,0.0005979568,0.0006005747,0.008919119,0.002917736,0.006141211,0.0006824408,0.0008918726,0.005578894],"category_scores_gemma":[0.01832199,0.0004628237,0.0005839485,0.009440814,0.002366843,0.006810176,0.002626675,0.001352456,0.001144112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004753144,"about_ca_system_score_gemma":0.006107103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1656798,"about_ca_topic_score_gemma":0.1409249,"domain_scores_codex":[0.9943686,0.002204788,0.0006011413,0.0009316668,0.001655456,0.0002382933],"domain_scores_gemma":[0.9831682,0.007149055,0.001071453,0.002543178,0.005646124,0.0004219391],"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":[0.0004245626,0.0000776592,0.06469069,0.001309498,0.000279529,0.0012148,0.07104757,0.003676283,0.02630411,0.1303456,0.01320854,0.6874211],"study_design_scores_gemma":[0.00006017294,0.0002603974,0.1206805,0.001711318,0.0005805595,0.002143293,0.05013863,0.0195131,0.02937915,0.0391881,0.7359858,0.0003590157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4958579,0.01897626,0.3783543,0.01407152,0.0004691532,0.0003671082,0.008836784,0.002004048,0.08106301],"genre_scores_gemma":[0.829438,0.004464286,0.1363219,0.0004784396,0.00013319,0.0002211634,0.005643679,0.0004875518,0.02281189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656798,"threshold_uncertainty_score":0.3294308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415198566366218,"score_gpt":0.2487163787586838,"score_spread":0.2345643930950216,"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."}}