{"id":"W1635797186","doi":"","title":"La « grammaire » textuelle : une ressource pour la compréhension et l’écriture des textes","year":2003,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Philosophy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003697373,0.002158493,0.001111397,0.003683318,0.00225932,0.01132443,0.001401206,0.003030714,0.01582627],"category_scores_gemma":[0.01647084,0.0009879086,0.001008675,0.003201585,0.00485718,0.01226043,0.002716583,0.005328173,0.006841606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024201,"about_ca_system_score_gemma":0.0035811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230217,"about_ca_topic_score_gemma":0.01235856,"domain_scores_codex":[0.9935221,0.004162963,0.0003474425,0.0006829184,0.0011452,0.0001393197],"domain_scores_gemma":[0.9927891,0.004343159,0.0004116279,0.0006978408,0.001588935,0.0001693558],"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":[0.0003454619,0.0001031998,0.001513559,0.00192173,0.000107911,0.001431577,0.03865526,0.002660714,0.04092698,0.4227392,0.06411245,0.425482],"study_design_scores_gemma":[0.00005045604,0.00008162899,0.003822101,0.0007840491,0.0001056235,0.001856879,0.01040793,0.01976405,0.02731862,0.07101959,0.8646262,0.0001627847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02511485,0.01026303,0.8717633,0.01509515,0.001964386,0.0002275974,0.002510528,0.008706254,0.06435479],"genre_scores_gemma":[0.4230364,0.01330123,0.4823413,0.001815439,0.002602884,0.0004290205,0.006109984,0.006957334,0.06340651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0230217,"threshold_uncertainty_score":0.05294412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086594662064745,"score_gpt":0.1952328704721151,"score_spread":0.1843669238514677,"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."}}