{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006849153,0.0006480396,0.0004860304,0.001701654,0.0114645,0.01783658,0.001428411,0.005023313,0.01715884],"category_scores_gemma":[0.01637776,0.0005641863,0.0004039249,0.002162002,0.02951936,0.01783338,0.007063347,0.007203473,0.004006282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006751117,"about_ca_system_score_gemma":0.01052986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05389531,"about_ca_topic_score_gemma":0.05387175,"domain_scores_codex":[0.9942378,0.003348601,0.0001340073,0.0005737334,0.001020447,0.0006853072],"domain_scores_gemma":[0.9943394,0.002042102,0.0007835829,0.0008837028,0.001101861,0.0008492694],"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":[0.00005371373,0.00002680859,0.002708949,0.0001767527,0.00001777376,0.0007195164,0.247784,0.000103394,0.001003159,0.6542323,0.03785517,0.05531839],"study_design_scores_gemma":[0.00001601714,0.00003551206,0.002439578,0.00048555,0.00002471946,0.0008993893,0.1182904,0.0002110651,0.0007380423,0.0748954,0.8019065,0.00005783046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07623646,0.02295147,0.07783446,0.2889371,0.003536589,0.000151032,0.0004085586,0.0006646017,0.5292796],"genre_scores_gemma":[0.8147626,0.0105171,0.01129785,0.01069988,0.001119497,0.0001298422,0.0001244075,0.0006432519,0.1507056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05389531,"threshold_uncertainty_score":0.1071633,"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."}}