{"id":"W2168547263","doi":"10.4000/ocim.1562","title":"Administrer la base de données : une fonction identifiée mais à pérenniser au musée national de Sèvres, Cité de la céramique","year":2015,"lang":"fr","type":"article","venue":"La Lettre de l’OCIM","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Sociology; 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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001428708,0.00040602,0.0002965411,0.0001280702,0.0002681468,0.002620405,0.000574289,0.0005236919,0.00007447932],"category_scores_gemma":[0.0008100778,0.0003711747,0.0002264462,0.0006021619,0.0003821132,0.002106264,0.0002737837,0.000560093,0.0001490988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009847508,"about_ca_system_score_gemma":0.002665096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210974,"about_ca_topic_score_gemma":0.003303971,"domain_scores_codex":[0.9966786,0.0007897337,0.0004036529,0.0005723332,0.0005868428,0.0009688581],"domain_scores_gemma":[0.9973904,0.0007493906,0.0002014417,0.0004062191,0.0003534261,0.0008991404],"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":[0.0001201082,0.0009421802,0.00520569,0.000188878,0.0001729547,0.003329921,0.0172759,0.002794527,0.005619254,0.2813172,0.6653743,0.01765907],"study_design_scores_gemma":[0.00128362,0.0001649029,0.02660257,0.0003041168,0.00007498979,0.003303952,0.0004495199,0.01620492,0.004727277,0.06252275,0.8836844,0.0006770073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4342723,0.002043089,0.05649661,0.03948395,0.001522014,0.0003709952,0.0001806779,0.0003922045,0.4652382],"genre_scores_gemma":[0.9548272,0.00006648445,0.007558863,0.005651743,0.001068699,0.00003546315,0.00006360297,0.00004523966,0.03068274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5205549,"threshold_uncertainty_score":0.999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1532886720476211,"score_gpt":0.324001075084897,"score_spread":0.1707124030372759,"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."}}