{"id":"W4391463423","doi":"","title":"Cultures de données : regard transatlantique sur la mise en données des contenus et des publics","year":2024,"lang":"fr","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Organisation de Coopération et de Développement Économiques; Bibliothèque et Archives nationales du Québec","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03224229,0.0008045511,0.0008136484,0.0062628,0.01043221,0.03749866,0.002187875,0.003868154,0.006408699],"category_scores_gemma":[0.0606056,0.001111439,0.0008323761,0.01456114,0.04083694,0.03065267,0.01287323,0.01015021,0.001222695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01807294,"about_ca_system_score_gemma":0.02441949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05024087,"about_ca_topic_score_gemma":0.03229566,"domain_scores_codex":[0.9587142,0.02883827,0.001985959,0.001713645,0.007672237,0.001075548],"domain_scores_gemma":[0.9059732,0.07294285,0.002793442,0.00636716,0.009812633,0.002110749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000147197,0.00001373096,0.0003615259,0.0002080744,0.00001513164,0.0002201381,0.1439658,0.0001400152,0.0002487683,0.8135386,0.01133863,0.0299347],"study_design_scores_gemma":[0.000008170205,0.00002385099,0.0009674354,0.001490925,0.00002567861,0.0005472608,0.1038434,0.0003939728,0.0005445899,0.1682463,0.7238606,0.00004788588],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02557802,0.07443964,0.04645079,0.1276605,0.003696893,0.00009881095,0.0003121785,0.0001927391,0.7215706],"genre_scores_gemma":[0.6484783,0.1103198,0.02385889,0.01114094,0.00309254,0.0005132057,0.000421148,0.00100715,0.201168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9895678,"threshold_uncertainty_score":0.1705156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136468224486624,"score_gpt":0.2688558584140561,"score_spread":0.1552090359653937,"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."}}