{"id":"W4390642073","doi":"10.4000/revuehn.3683","title":"Analyse textométrique du lexique des personnages dans French Town de Michel Ouellette : dire je et exprimer ses émotions","year":2023,"lang":"fr","type":"article","venue":"Humanités numériques","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association","funders":"","keywords":"Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009369151,0.000732557,0.0007652464,0.0007361008,0.002208695,0.00168674,0.0006020769,0.0003188487,0.008772792],"category_scores_gemma":[0.000469051,0.0007226138,0.0007691099,0.0004030963,0.00126794,0.0006146369,0.0002600471,0.0006565099,0.0005448429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930649,"about_ca_system_score_gemma":0.0002710554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05118278,"about_ca_topic_score_gemma":0.1016875,"domain_scores_codex":[0.9962968,0.0005544522,0.0007785233,0.0008124003,0.0004460444,0.001111743],"domain_scores_gemma":[0.9975561,0.000464538,0.0003006879,0.0007145692,0.0006232843,0.0003407696],"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":[0.00001568531,0.0007709595,0.02143537,0.0003226648,0.001288666,0.0005797403,0.2939036,0.0006997571,0.0006307732,0.4063824,0.2733016,0.0006687828],"study_design_scores_gemma":[0.0005401363,0.0002750673,0.006745955,0.0007440163,0.0009186362,0.00003296559,0.1699754,0.003529877,0.001311571,0.03320133,0.7811873,0.001537771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6272429,0.02083661,0.003035273,0.01502313,0.001128798,0.0005564103,0.001203096,0.001188541,0.3297853],"genre_scores_gemma":[0.7822371,0.008526979,0.000614353,0.001342541,0.005385004,0.0001037632,0.0003867466,0.0001479233,0.2012556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5078858,"threshold_uncertainty_score":0.9995225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05519080566992485,"score_gpt":0.314306972531075,"score_spread":0.2591161668611501,"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."}}