{"id":"W4386532218","doi":"10.3917/riges.483.0109","title":"On a lu pour vous – Parler pour être écouté, de Michèle Taïeb","year":2023,"lang":"fr","type":"article","venue":"Gestion","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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":[0.002510053,0.0008367642,0.0005627589,0.001084848,0.007516967,0.01102509,0.0009210755,0.00330261,0.02063359],"category_scores_gemma":[0.01100192,0.0003273439,0.0003630046,0.0008472828,0.008736308,0.01145627,0.003691557,0.00971609,0.007691203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003368759,"about_ca_system_score_gemma":0.002992361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544311,"about_ca_topic_score_gemma":0.02260452,"domain_scores_codex":[0.9973125,0.001218224,0.00006312252,0.0005887283,0.0006017174,0.0002157174],"domain_scores_gemma":[0.9960721,0.001572732,0.0002961151,0.0002487115,0.001204517,0.0006058311],"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":[0.000092865,0.00003321391,0.001209916,0.0002166091,0.00002068953,0.0004985019,0.03709437,0.00009531343,0.001139667,0.2873519,0.6430536,0.02919336],"study_design_scores_gemma":[0.000003337004,0.000008510813,0.0003725746,0.0001491304,0.000003196383,0.0001884151,0.006926376,0.00007045145,0.0002510754,0.01410454,0.9779017,0.00002066201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006385588,0.03608088,0.007586983,0.8151057,0.02401558,0.00003862563,0.000203246,0.000324876,0.1102584],"genre_scores_gemma":[0.1805933,0.02412624,0.01037694,0.1992536,0.01610358,0.0001517326,0.000238558,0.001384576,0.5677714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02063359,"threshold_uncertainty_score":0.06902629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352809891686299,"score_gpt":0.2696065922037125,"score_spread":0.2360784932868495,"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."}}