{"id":"W4206866797","doi":"","title":"Modalité et stratégies discursives : l’exemple des débats présidentiels américains","year":2011,"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":"Computer science; Art","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":[0.0017731,0.0003816168,0.0003244516,0.001001606,0.006220473,0.006013965,0.0005677086,0.002937109,0.01205245],"category_scores_gemma":[0.004818939,0.0003128985,0.0003888571,0.001782178,0.003364028,0.003765933,0.002088439,0.002584213,0.001618314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004853201,"about_ca_system_score_gemma":0.00329411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09760697,"about_ca_topic_score_gemma":0.09185971,"domain_scores_codex":[0.9978115,0.001057406,0.00007892765,0.000242236,0.0003995375,0.0004103221],"domain_scores_gemma":[0.9977672,0.001505068,0.0001443222,0.0001216549,0.0003413836,0.000120418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001473391,0.00008370553,0.004977707,0.0001371132,0.00003280639,0.001579481,0.1087888,0.001140954,0.00343549,0.8055397,0.02964603,0.04449081],"study_design_scores_gemma":[0.00004656722,0.00003227534,0.008277472,0.0001267706,0.00003369751,0.0008193729,0.06015423,0.002537722,0.002477581,0.04361686,0.8818185,0.00005906825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2931485,0.002633576,0.0256384,0.02209432,0.0003350444,0.00008593991,0.0007669525,0.0004848352,0.6548123],"genre_scores_gemma":[0.8790233,0.000756052,0.009800728,0.001082566,0.0001319359,0.00009873985,0.0004119239,0.0002053124,0.1084895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09760697,"threshold_uncertainty_score":0.1940777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826612115236632,"score_gpt":0.264551793834287,"score_spread":0.2262856726819206,"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."}}