{"id":"W7038367376","doi":"","title":"Identification de biomarqueurs du syndrome métabolique par une approche métabolomique chez l'humain","year":2014,"lang":"fr","type":"other","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Helmholtz Zentrum München; Bundesministerium für Bildung und Forschung; Institute of Gender and Health; Pfizer","keywords":"Adipose tissue; Elastin; Energy metabolism; Cancer","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":[0.000654624,0.0006919054,0.0005923214,0.001348916,0.0004257472,0.000903808,0.0002170689,0.0005627024,0.00191136],"category_scores_gemma":[0.001098815,0.0001917912,0.0006151869,0.001414446,0.0003242407,0.0002256062,0.0002922283,0.0003201551,0.0004267079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820556,"about_ca_system_score_gemma":0.0003871794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01457997,"about_ca_topic_score_gemma":0.01524979,"domain_scores_codex":[0.9996186,0.00009455888,0.00002554733,0.0001304805,0.00008487512,0.00004590215],"domain_scores_gemma":[0.9996336,0.00007950345,0.0001135632,0.00002567591,0.0001197497,0.00002797883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00119809,0.0001028125,0.8584483,0.0005353382,0.001016454,0.001178313,0.001004058,0.0003583016,0.06493804,0.0002559397,0.0007635854,0.07020089],"study_design_scores_gemma":[0.00001370359,0.0003100424,0.9879847,0.00006335909,0.0003196997,0.001484071,0.0004891876,0.00101884,0.005166161,0.000198974,0.00293525,0.00001599404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983744,0.006097277,0.006547103,0.0002961885,0.00005122164,0.00006240622,0.0009165728,0.0001079162,0.002177369],"genre_scores_gemma":[0.9898598,0.001682254,0.004765825,0.0002313205,0.00004046391,0.00005988791,0.0006061376,0.00001825689,0.002736084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457997,"threshold_uncertainty_score":0.02899021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161814869004709,"score_gpt":0.2328528241548023,"score_spread":0.2212346754647552,"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."}}