{"id":"W4316086966","doi":"10.58282/acta.1494","title":"Communiquer, léguer, enseigner, révéler : pour une po(ï)étique de la transmission","year":2006,"lang":"fr","type":"article","venue":"Acta Fabula","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004114436,0.0004754817,0.0003940248,0.00009917504,0.0004034916,0.001569604,0.0009395457,0.0004689692,0.000199399],"category_scores_gemma":[0.00005209735,0.0003842656,0.0002594329,0.0005942306,0.0003610369,0.002216973,0.0002651367,0.0006193164,0.0001401787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182317,"about_ca_system_score_gemma":0.0003741641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923671,"about_ca_topic_score_gemma":0.0003223337,"domain_scores_codex":[0.9972119,0.0005315426,0.0004843985,0.0004921222,0.0003688535,0.0009111431],"domain_scores_gemma":[0.997961,0.0004476842,0.0001613344,0.0008053692,0.0001793704,0.0004451958],"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":[0.00005579968,0.001733133,0.0001964745,0.0001404588,0.00006885084,0.001080318,0.007799087,0.0004721033,0.0681399,0.3184194,0.393447,0.2084476],"study_design_scores_gemma":[0.0009362664,0.0001787525,0.007739965,0.0003756855,0.00003876726,0.0009679028,0.00007770225,0.007328254,0.0217263,0.0843306,0.8756155,0.0006842426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1664206,0.01985978,0.1067141,0.07722773,0.00112946,0.0006013882,0.00004663504,0.0005639229,0.6274363],"genre_scores_gemma":[0.9063843,0.0009394264,0.01028645,0.002653058,0.0003520567,0.000008091904,0.00003627906,0.00004565092,0.07929462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7399637,"threshold_uncertainty_score":0.9998609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0914430193544379,"score_gpt":0.3034583304445466,"score_spread":0.2120153110901087,"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."}}