{"id":"W4389508021","doi":"10.4000/diasporas.12478","title":"Trouver asile dans le Nouveau Monde","year":2023,"lang":"fr","type":"article","venue":"Diasporas","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Art; Political science; Geography","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":[0.001371847,0.0002908194,0.0002561549,0.0007389854,0.01172315,0.006356269,0.0004321289,0.001181104,0.01344256],"category_scores_gemma":[0.002196518,0.0001831986,0.0001512068,0.0009667612,0.0145195,0.003962539,0.004585862,0.002088391,0.001202544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005661226,"about_ca_system_score_gemma":0.003724293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03509018,"about_ca_topic_score_gemma":0.09659587,"domain_scores_codex":[0.9982888,0.0009180415,0.00002669306,0.000173138,0.0001744838,0.0004188751],"domain_scores_gemma":[0.999161,0.0002845769,0.0001191231,0.00009300404,0.000113947,0.0002283608],"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":[0.00006437862,0.00002018293,0.003128622,0.00008484731,0.000006539035,0.0005591266,0.3356685,0.00006985834,0.0005180593,0.616639,0.01609296,0.02714802],"study_design_scores_gemma":[0.000004553209,0.00002329542,0.003310599,0.000164688,0.000003390286,0.0002855158,0.0877342,0.00002780513,0.0002086636,0.009271572,0.8989519,0.00001395536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2931412,0.02400166,0.002161385,0.0301109,0.001139161,0.00003560957,0.0002023441,0.00007770505,0.64913],"genre_scores_gemma":[0.8932407,0.004639083,0.0005199831,0.0009529802,0.000135565,0.00002009342,0.00003332488,0.00005561898,0.1004028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03509018,"threshold_uncertainty_score":0.06977189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176486063947734,"score_gpt":0.2157203639528954,"score_spread":0.1939555033134181,"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."}}