{"id":"W7070571963","doi":"","title":"Raconter et construire son récit pour obtenir le statut de réfugié : contexte, exigences et résistances des femmes","year":2024,"lang":"fr","type":"article","venue":"Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Democratic legitimacy; European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0009932987,0.001082813,0.0009309088,0.000698604,0.001713478,0.002825101,0.002258216,0.0008572573,0.0003045401],"category_scores_gemma":[0.000327487,0.001118775,0.0006688143,0.001151516,0.002783594,0.0008211213,0.00314857,0.001124207,0.00006605069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190898,"about_ca_system_score_gemma":0.002670842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002619427,"about_ca_topic_score_gemma":0.0009644409,"domain_scores_codex":[0.9952588,0.0008488445,0.0005561496,0.00122335,0.0005071994,0.001605674],"domain_scores_gemma":[0.9966822,0.0007959827,0.0004530787,0.0008060186,0.0003605971,0.0009021658],"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":[0.004952427,0.0003258036,0.01506088,0.001358334,0.002032352,0.002407911,0.1733059,0.001846313,0.001431178,0.7371093,0.01832294,0.04184667],"study_design_scores_gemma":[0.004181489,0.0006002784,0.004785643,0.00097303,0.0005846614,0.001116461,0.02636574,0.005326169,0.002055821,0.008086175,0.9441573,0.001767225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6885425,0.01903233,0.034963,0.03652342,0.0005353238,0.001171542,0.001590521,0.000387162,0.2172541],"genre_scores_gemma":[0.9160911,0.005591232,0.003160769,0.003366417,0.0001922316,0.000008687243,0.0005116161,0.0001432499,0.07093468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9258344,"threshold_uncertainty_score":0.9999303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200930905518102,"score_gpt":0.2348857193041752,"score_spread":0.2228764102489942,"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."}}