{"id":"W3201197272","doi":"10.4000/studifrancesi.44630","title":"Aurélie Houdebert, Le Cheval d’ébène à la cour de France: “Cléomadès” et “Méliacin”","year":2021,"lang":"fr","type":"article","venue":"Studi Francesi","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Art; Humanities; Champion; History; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947054,0.00082242,0.0003895767,0.00127458,0.008976643,0.004435873,0.0009888221,0.005535847,0.009668636],"category_scores_gemma":[0.004433894,0.000304084,0.0002822135,0.001294687,0.005723223,0.004777854,0.001491432,0.004659591,0.001287792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00606849,"about_ca_system_score_gemma":0.003589475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1567348,"about_ca_topic_score_gemma":0.2443023,"domain_scores_codex":[0.9983512,0.0009923351,0.00003964529,0.0001517478,0.0002506955,0.0002144177],"domain_scores_gemma":[0.9969913,0.002207605,0.0002007942,0.00005452536,0.0003236495,0.0002222384],"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":[0.0001369902,0.00009725582,0.003663289,0.000439203,0.00003805311,0.0007695113,0.09151235,0.0001311159,0.0003868405,0.4036545,0.4604436,0.03872737],"study_design_scores_gemma":[0.00002196124,0.00002912607,0.009218726,0.0005250031,0.00001136147,0.0002757862,0.02705469,0.00007959865,0.0003720713,0.0187143,0.9436561,0.00004124308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02439884,0.2729197,0.0008499566,0.5595822,0.007885738,0.00003615925,0.0003141738,0.00006887785,0.1339443],"genre_scores_gemma":[0.5493693,0.1181507,0.001439168,0.08071889,0.007414717,0.0001246068,0.0001778422,0.0001767643,0.2424281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1567348,"threshold_uncertainty_score":0.311645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694310852083736,"score_gpt":0.2998433196878164,"score_spread":0.272900211166979,"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."}}