{"id":"W4392218824","doi":"","title":"Identification and molecular caracterization of the first genetic etiology of Whipple disease in human","year":2017,"lang":"fr","type":"preprint","venue":"","topic":"Whipple's Disease and Interleukins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genentech; Institut Pasteur de Tunis; Université Hassan II de Casablanca; Marmara Üniversitesi; Institut des maladies génétiques Imagine; Università degli Studi di Roma Tor Vergata; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ege Üniversitesi; Institut National de la Santé et de la Recherche Médicale; Instituto Nacional de Pediatria; Assistance publique-Hôpitaux de Paris; Regeneron Pharmaceuticals; Agence Nationale de la Recherche; American University of Beirut; King Fahad Medical City; St. Giles Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Université Paris Descartes; Howard Hughes Medical Institute; Pfizer; Biogen; Univerzita Komenského v Bratislave; Beijing Children's Hospital, Capital Medical University; Necmettin Erbakan Üniversitesi; Hospital for Sick Children; College of Medicine, King Saud University; King Saud University; Sanofi; Consejo Nacional de Ciencia y Tecnología","keywords":"Whipple's disease; Identification (biology); Etiology; Whipple Disease; Disease; Computational biology; Biology; Medicine; Pathology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002496201,0.0002854777,0.0002659172,0.001256072,0.0003325475,0.0004045763,0.0002746512,0.0006989317,0.002559354],"category_scores_gemma":[0.0008667569,0.0002182179,0.0004333555,0.0005713293,0.0003197387,0.0002452617,0.000408808,0.0004359147,0.000606885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683101,"about_ca_system_score_gemma":0.0002957684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460458,"about_ca_topic_score_gemma":0.001013882,"domain_scores_codex":[0.9997969,0.00003260627,0.00001614183,0.00006558309,0.0000470023,0.00004189292],"domain_scores_gemma":[0.9996606,0.00009182415,0.00009002115,0.00005692277,0.00005217941,0.00004852804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001121629,0.0002268219,0.2816483,0.0005861411,0.0002303088,0.01909555,0.001327851,0.0007425675,0.6168208,0.003246945,0.002557137,0.0723959],"study_design_scores_gemma":[0.00009003789,0.0007200383,0.7680373,0.0001966207,0.0003209311,0.05586759,0.001119473,0.001732215,0.1277335,0.002604949,0.04150301,0.00007435004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860719,0.006523148,0.003753473,0.0003998938,0.00006350917,0.00004290052,0.0008538156,0.00007179067,0.002219549],"genre_scores_gemma":[0.9891845,0.003492176,0.003252646,0.0002060183,0.00006786561,0.00003740339,0.001337247,0.00002147325,0.002400625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002559354,"threshold_uncertainty_score":0.008561909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352160530819663,"score_gpt":0.2798117535933378,"score_spread":0.2662901482851412,"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."}}