{"id":"W7067063426","doi":"","title":"Le mot \"scène\": un exercice de synonymie en contexte dans le langage politique de la presse Franco-canadienne","year":2010,"lang":"fr","type":"article","venue":"Messanae Universitas Studiorum (University of Messina)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Action (physics); Identity (music); Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00445689,0.00134687,0.000662982,0.004203369,0.005123856,0.01154393,0.0008414508,0.00258118,0.01202406],"category_scores_gemma":[0.01327003,0.0009251909,0.0006491517,0.004279155,0.007172327,0.01948185,0.003422218,0.004537967,0.001472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007119524,"about_ca_system_score_gemma":0.003354775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0681256,"about_ca_topic_score_gemma":0.05430227,"domain_scores_codex":[0.9926746,0.005105914,0.000309969,0.0007254836,0.0008721355,0.000311848],"domain_scores_gemma":[0.9928656,0.004790613,0.0003736953,0.0005035713,0.001245413,0.0002211841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002310521,0.0000219379,0.004091235,0.0003800453,0.0000668895,0.0005961197,0.1039096,0.0005138443,0.005566704,0.8131263,0.01676393,0.0547324],"study_design_scores_gemma":[0.00006781155,0.00009459971,0.01012886,0.000517428,0.0001130146,0.001158173,0.08500522,0.004045368,0.005565937,0.04546514,0.8476704,0.0001680714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2480991,0.0112454,0.3568544,0.05042871,0.004758005,0.0002202714,0.004455384,0.003094343,0.3208444],"genre_scores_gemma":[0.9387019,0.001797471,0.03375371,0.0008598027,0.0008331901,0.0001558927,0.001107452,0.00135973,0.02143083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9318744,"threshold_uncertainty_score":0.1354581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006226779870262862,"score_gpt":0.1989565410572065,"score_spread":0.1927297611869436,"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."}}