{"id":"W4206883420","doi":"","title":"Enonciation et corpus générique. L'exemple du récit de voyage","year":2005,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Humanities; 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":[0.001448308,0.0008330608,0.0005257088,0.00282611,0.001690403,0.002874678,0.001163335,0.001506385,0.02707911],"category_scores_gemma":[0.009371199,0.0004737195,0.0004181837,0.004782168,0.00120615,0.002276844,0.001324452,0.0019642,0.006281298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584352,"about_ca_system_score_gemma":0.001789512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996715,"about_ca_topic_score_gemma":0.01655808,"domain_scores_codex":[0.9973981,0.000968501,0.0002316277,0.0004882663,0.0008059635,0.0001074556],"domain_scores_gemma":[0.9955584,0.00264497,0.0001766436,0.0006270513,0.0009145039,0.00007847825],"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":[0.001723412,0.0002258509,0.003917281,0.00196344,0.00008199646,0.003994091,0.01815363,0.002875321,0.03818874,0.1985627,0.204638,0.5256755],"study_design_scores_gemma":[0.00007999777,0.00003840378,0.004200532,0.0001410915,0.00002340122,0.002681011,0.002485187,0.003221723,0.01953666,0.008650193,0.9588782,0.00006356137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1820578,0.005779206,0.4020491,0.008428914,0.004048176,0.001519671,0.1057765,0.01865532,0.2716854],"genre_scores_gemma":[0.330785,0.002579501,0.4004753,0.0008006747,0.000660815,0.001887673,0.1035889,0.007288385,0.1519338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02707911,"threshold_uncertainty_score":0.09058863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632146744318951,"score_gpt":0.2378984879246746,"score_spread":0.221577020481485,"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."}}