{"id":"W4408452505","doi":"10.4000/13h5b","title":"La réparation pour les violations massives des droits humains : une cartographie de la mosaïque de mécanismes nationaux","year":2025,"lang":"fr","type":"article","venue":"Revue des droits de l’homme","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Philosophy; Art","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":[0.00247603,0.0003190712,0.0002827597,0.003037041,0.008846577,0.00559857,0.0008953767,0.001799043,0.01022311],"category_scores_gemma":[0.004061507,0.0002075464,0.0003886779,0.003739568,0.01113953,0.005501755,0.004327533,0.00206812,0.0004943739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005437248,"about_ca_system_score_gemma":0.005241891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03971197,"about_ca_topic_score_gemma":0.07304879,"domain_scores_codex":[0.9971882,0.001547537,0.00008076136,0.0001825271,0.0004112269,0.0005898643],"domain_scores_gemma":[0.9971343,0.001375121,0.0005842151,0.0002224641,0.0003961326,0.0002876276],"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":[0.00004146272,0.00003810563,0.03597452,0.0002825214,0.00003102919,0.0007782194,0.2803302,0.0005208815,0.0004214047,0.6290268,0.00421223,0.0483427],"study_design_scores_gemma":[0.000007696184,0.00008482301,0.08939271,0.001347724,0.00003805728,0.001320925,0.6096484,0.000659989,0.0004869436,0.04359424,0.2533479,0.00007052418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5743541,0.006898232,0.007668793,0.0181716,0.0001204571,0.0001109762,0.0002657996,0.00006228225,0.3923477],"genre_scores_gemma":[0.9800107,0.002294762,0.001330321,0.0003673016,0.00002663014,0.0000734742,0.00005612666,0.00002013389,0.01582038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03971197,"threshold_uncertainty_score":0.07896167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07275070877788045,"score_gpt":0.3870612210917166,"score_spread":0.3143105123138362,"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."}}