{"id":"W4298006782","doi":"10.4000/communication.16025","title":"Ruth AMOSSY (dir.) (2018), « La réparation d’image dans le discours de campagne. Perspectives discursives et argumentatives »","year":2022,"lang":"fr","type":"article","venue":"Communication","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; 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":[0.002145195,0.001145769,0.0007349324,0.001503252,0.00433649,0.006229709,0.0008760255,0.004919692,0.03462615],"category_scores_gemma":[0.008670426,0.0005192363,0.0003600555,0.001493287,0.002699091,0.009407522,0.002361883,0.007156267,0.02183764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00314963,"about_ca_system_score_gemma":0.003217554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02808593,"about_ca_topic_score_gemma":0.05243533,"domain_scores_codex":[0.9979297,0.0008520628,0.0001106995,0.0003189871,0.0006320988,0.0001564953],"domain_scores_gemma":[0.9972181,0.001624335,0.0002729459,0.00006900804,0.0005540364,0.0002614524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005380815,0.00002318324,0.0004858503,0.0003665436,0.000008869345,0.0001116036,0.006964398,0.00003893876,0.0001953785,0.02662825,0.8954152,0.06970789],"study_design_scores_gemma":[0.000008527816,0.00001120589,0.002362608,0.0007248692,0.000007675748,0.0001516654,0.004077636,0.00004963297,0.0002405939,0.006927016,0.9854096,0.00002905873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002869656,0.4645047,0.002869873,0.4114058,0.0479569,0.00004373253,0.001053033,0.0002170502,0.06907914],"genre_scores_gemma":[0.1037664,0.3994701,0.003104185,0.08481273,0.03164072,0.0002838609,0.001117723,0.001229181,0.3745752],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03462615,"threshold_uncertainty_score":0.115836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324446068608297,"score_gpt":0.3096923235711572,"score_spread":0.2864478628850742,"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."}}