{"id":"W7104249079","doi":"10.71781/2129","title":"La discrimination en droit de l’immigration : le cas de l’inadmissibilité médicale","year":2024,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Hypocrisy; Context (archaeology); Legislation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002338497,0.0002322818,0.0003423754,0.001281498,0.009287649,0.005213069,0.0009375553,0.002887042,0.009900521],"category_scores_gemma":[0.008208451,0.0001955363,0.0003840385,0.001368389,0.007630593,0.001614151,0.003942644,0.003139606,0.0005990789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009219601,"about_ca_system_score_gemma":0.0215465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3130204,"about_ca_topic_score_gemma":0.4909405,"domain_scores_codex":[0.9962257,0.0007574784,0.0001515717,0.0002063265,0.001119652,0.001539286],"domain_scores_gemma":[0.9958299,0.001426766,0.0009016434,0.0002295099,0.0008830269,0.000729201],"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":[0.0001312738,0.0001646835,0.1426431,0.0005747596,0.00005118625,0.009218976,0.1103306,0.000464488,0.001219508,0.5879536,0.03254505,0.1147027],"study_design_scores_gemma":[0.00007221987,0.0002038088,0.2137939,0.004024241,0.000137291,0.01051894,0.1791082,0.0012509,0.001969513,0.07066972,0.5180852,0.0001661674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5351014,0.00936008,0.001967088,0.1694036,0.001057766,0.00007660127,0.0003231253,0.00002837189,0.282682],"genre_scores_gemma":[0.9560478,0.005330364,0.0005788034,0.00840243,0.0003152727,0.00003234272,0.00007445068,0.0000129053,0.02920567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3130204,"threshold_uncertainty_score":0.6223968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130172240367896,"score_gpt":0.386330563888297,"score_spread":0.3550288414846181,"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."}}