{"id":"W7011056260","doi":"","title":"L'endiguement par l'asile: Dispositifs de l’UE avec le Niger, la Serbie, la Tunisie et la Turquie","year":2023,"lang":"fr","type":"report","venue":"Data Archiving and Networked Services (DANS)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"European Commission","keywords":"Politics; Context (archaeology); Government (linguistics); Public investment","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":[0.002331046,0.000253438,0.0002169388,0.001026558,0.001575929,0.003461787,0.0003021231,0.0006464869,0.006005462],"category_scores_gemma":[0.0044477,0.0001847935,0.0002342636,0.00214544,0.0009222746,0.002134885,0.002419855,0.001126263,0.0003513632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002839283,"about_ca_system_score_gemma":0.003552134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1536303,"about_ca_topic_score_gemma":0.1292537,"domain_scores_codex":[0.9988338,0.0005552688,0.00006367886,0.0001013276,0.0001086202,0.0003372343],"domain_scores_gemma":[0.9977657,0.0008879271,0.0005655396,0.0001159998,0.0002887907,0.0003760754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003070768,0.00009132197,0.8337322,0.0003053502,0.0001011407,0.00207973,0.03113136,0.0006500196,0.0005032097,0.03846734,0.005896151,0.08673511],"study_design_scores_gemma":[0.00002415611,0.0001471984,0.8390124,0.002015787,0.00009443619,0.001482956,0.07404877,0.0006770495,0.0009105459,0.004687375,0.07684959,0.00004970423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9410083,0.01023681,0.001099079,0.01400201,0.0001335596,0.00006399772,0.002358289,0.00001729544,0.03108066],"genre_scores_gemma":[0.9875363,0.004603829,0.0007457631,0.0006746468,0.00003067992,0.00004710487,0.0005343013,0.00001116387,0.005816306],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1536303,"threshold_uncertainty_score":0.3054722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070562377259677,"score_gpt":0.3259786514743577,"score_spread":0.2852730277017609,"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."}}