{"id":"W3117213843","doi":"10.4000/memini.1697","title":"Les caractères discrets de l’écriture : paléographie quantitative à l’âge du numérique","year":2020,"lang":"fr","type":"article","venue":"Memini","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004242622,0.0003821338,0.0003445042,0.003804386,0.001424514,0.006007891,0.0007757901,0.001116392,0.02429423],"category_scores_gemma":[0.01825664,0.0003477673,0.0003366004,0.004247484,0.005155486,0.006997653,0.002536613,0.001857181,0.002191738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773226,"about_ca_system_score_gemma":0.001777722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127049,"about_ca_topic_score_gemma":0.01743898,"domain_scores_codex":[0.9979861,0.0008272059,0.00008908122,0.0003822423,0.0005837071,0.0001317024],"domain_scores_gemma":[0.9895119,0.007408458,0.0006240602,0.0008387252,0.001348951,0.0002678677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002750207,0.00004018207,0.02594892,0.001042228,0.0000496582,0.000369288,0.09942583,0.004266649,0.005757063,0.6971045,0.01358801,0.1521326],"study_design_scores_gemma":[0.00003023107,0.00007610469,0.07678601,0.001283058,0.00005176789,0.0009638069,0.04566959,0.009337551,0.006954675,0.1791077,0.6795709,0.0001685687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3650264,0.007670223,0.2032273,0.01532499,0.0006330801,0.0001403076,0.004164614,0.001355998,0.4024571],"genre_scores_gemma":[0.9102139,0.002673016,0.04054918,0.0004454339,0.0001399667,0.0001822881,0.0007006089,0.001148544,0.04394704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02429423,"threshold_uncertainty_score":0.0812723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2506527089016831,"score_gpt":0.3307488364123861,"score_spread":0.08009612751070305,"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."}}