{"id":"W4402695873","doi":"10.16995/dm.16468","title":"Nouvelles approches sigillographiques, les apports des bases de données","year":2024,"lang":"fr","type":"article","venue":"Digital Medievalist","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":["scholarly_communication"],"category_scores_codex":[0.0006794725,0.0003447763,0.0002878753,0.0003140952,0.0003382544,0.006987843,0.0009455516,0.000178532,0.00009818328],"category_scores_gemma":[0.0002265392,0.000290552,0.0002503794,0.001286734,0.001420009,0.0179649,0.000333659,0.0002176811,0.0003790013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008420888,"about_ca_system_score_gemma":0.0006221981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002436238,"about_ca_topic_score_gemma":0.00001702883,"domain_scores_codex":[0.9973742,0.00008044462,0.0006261221,0.0005489658,0.0006455974,0.0007246315],"domain_scores_gemma":[0.998619,0.0003450437,0.0001151451,0.0003758866,0.000139337,0.0004055446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009807201,0.0001615302,0.008986733,0.002447391,0.0001154984,0.0004103729,0.03174701,0.00006738967,0.0001250473,0.1682415,0.08292234,0.7047654],"study_design_scores_gemma":[0.00008769558,0.0001702942,0.001244995,0.001536513,0.000010587,0.0004530994,0.004133838,0.02710994,0.001019543,0.00980318,0.953931,0.000499331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1361204,0.1288471,0.2725181,0.01913524,0.01340551,0.001084568,0.0007600336,0.00266217,0.4254668],"genre_scores_gemma":[0.9805648,0.001341222,0.001967105,0.0008544203,0.0006366146,0.00003524419,0.00007257547,0.00002669273,0.01450132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8710086,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904528082356779,"score_gpt":0.2556595433175853,"score_spread":0.1966142624940175,"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."}}