{"id":"W4404090830","doi":"10.1080/2049677x.2024.2423446","title":"Le droit des exilés: Généalogie du droit d’asile au XVIIe siècle","year":2024,"lang":"fr","type":"article","venue":"Comparative Legal History","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Art; History","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":[0.0004202784,0.0001616725,0.0001632483,0.002765174,0.001112542,0.001379378,0.0002099814,0.0002533362,0.00950766],"category_scores_gemma":[0.001409438,0.0001132616,0.0001008087,0.004143427,0.001562802,0.0008877821,0.0006902326,0.000718488,0.0007518367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165323,"about_ca_system_score_gemma":0.0004486414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03648278,"about_ca_topic_score_gemma":0.04337493,"domain_scores_codex":[0.9996519,0.0001413556,0.00002199129,0.00006938915,0.000052075,0.00006319767],"domain_scores_gemma":[0.9993294,0.0003601473,0.0001389209,0.0000373437,0.0001029795,0.00003125424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004621405,0.00004994475,0.1934309,0.0005955347,0.0001163352,0.001172024,0.0948123,0.00275159,0.001331332,0.3515434,0.04042299,0.3133116],"study_design_scores_gemma":[0.00001847634,0.00007871799,0.4432648,0.001144472,0.00002928961,0.00148493,0.01485462,0.0006559085,0.0005826771,0.007551488,0.5302754,0.00005922755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736267,0.02788969,0.001936587,0.003609401,0.0002970233,0.00001851777,0.002905125,0.0000459048,0.189671],"genre_scores_gemma":[0.9758506,0.008632855,0.0007488818,0.0001190568,0.00006349168,0.00001464275,0.0006648372,0.00003038889,0.01387524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03648278,"threshold_uncertainty_score":0.07254088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0911186375169305,"score_gpt":0.3173727775630838,"score_spread":0.2262541400461533,"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."}}