{"id":"W7037691801","doi":"","title":"Evaluation des liens entre l’indice de la qualité alimentaire globale C-HEI, des paramètres nutritionnels et anthropométriques et des indicateurs de santé dans la cohorte «NuAge»","year":2013,"lang":"fr","type":"other","venue":"Open MIND","topic":"Social Skills and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food intake; Food consumption; Statistical analysis; Food habits","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":[0.01269823,0.0007137565,0.0007588619,0.001676357,0.0008656555,0.001268575,0.0009395535,0.0006183482,0.002915087],"category_scores_gemma":[0.01571983,0.0003560997,0.001465375,0.002429967,0.0006520685,0.0006848547,0.001261256,0.0007292951,0.000422646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006489,"about_ca_system_score_gemma":0.004927481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1388478,"about_ca_topic_score_gemma":0.1537491,"domain_scores_codex":[0.9956045,0.001606694,0.0003133802,0.0009429785,0.001183086,0.0003494288],"domain_scores_gemma":[0.9889929,0.003651938,0.002376882,0.0009534558,0.003507004,0.0005178481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004303741,0.00004991732,0.9817038,0.0002825173,0.001078776,0.00002341913,0.000800639,0.0003023041,0.0006125054,0.0002381363,0.0004445638,0.0140331],"study_design_scores_gemma":[0.0000127215,0.0002706431,0.9962883,0.00008249631,0.0002848169,0.00003670743,0.000427198,0.0005469754,0.000383033,0.0001044354,0.001550486,0.00001222975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967214,0.004888607,0.01474388,0.0004196868,0.00008641051,0.0007469119,0.006728287,0.0001058848,0.005066292],"genre_scores_gemma":[0.9752759,0.001026578,0.01307592,0.000133869,0.00002796574,0.001419318,0.003541239,0.00004227894,0.005456836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388478,"threshold_uncertainty_score":0.2760792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05565159805333622,"score_gpt":0.4539622451947627,"score_spread":0.3983106471414265,"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."}}