{"id":"W6891550148","doi":"10.4000/14bc4","title":"L’audience, dans les coulisses de la justice d’asile","year":2025,"lang":"fr","type":"article","venue":"Mondes & Migrations","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Economic Justice; Subject (documents); Context (archaeology); Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004905613,0.0001876901,0.0001984132,0.0001203942,0.002544608,0.0002142939,0.0002673682,0.0002019839,0.0006785133],"category_scores_gemma":[0.0007232164,0.0001963074,0.000128657,0.001110238,0.001508744,0.0002744374,0.0000600821,0.0002274583,0.0001599442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191543,"about_ca_system_score_gemma":0.000516262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009213132,"about_ca_topic_score_gemma":0.0715412,"domain_scores_codex":[0.9983074,0.0004552465,0.0002939829,0.000282556,0.000235993,0.0004248082],"domain_scores_gemma":[0.9986337,0.0007897147,0.0000861187,0.0001980387,0.000178053,0.0001143365],"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":[0.000003981579,0.000180081,0.01277704,0.00006253996,0.00006063448,0.000004528883,0.05476499,0.0003780508,0.0005013854,0.5068164,0.4185743,0.005876058],"study_design_scores_gemma":[0.0001258926,0.00002340933,0.02130979,0.0001033603,0.0002996166,0.000001671484,0.08824755,0.000814072,0.0003164039,0.007186124,0.8813874,0.0001847554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07406783,0.04136794,0.01669179,0.03542825,0.001711411,0.0003552765,0.0001207562,0.0002068966,0.8300498],"genre_scores_gemma":[0.7405805,0.006071653,0.001322794,0.0006272597,0.0002579824,0.00007842542,0.0000111066,0.000008399114,0.2510419],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6665127,"threshold_uncertainty_score":0.998754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500608545159224,"score_gpt":0.3579164365098366,"score_spread":0.3329103510582443,"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."}}