{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007027237,0.0004785851,0.0005114766,0.0001328357,0.001445881,0.001428496,0.0008697984,0.0008439693,0.03223489],"category_scores_gemma":[0.001051031,0.0004954872,0.0001807914,0.0006611697,0.004526672,0.0009356535,0.0001658379,0.0003531295,0.0005492453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211838,"about_ca_system_score_gemma":0.002142976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07454282,"about_ca_topic_score_gemma":0.04533248,"domain_scores_codex":[0.9894858,0.007606202,0.0005134364,0.0006834962,0.0008451749,0.0008658693],"domain_scores_gemma":[0.9973121,0.001122025,0.000601444,0.0002647876,0.0002966556,0.0004029437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002395246,0.001451309,0.1608452,0.00008088284,0.0004263425,0.000016782,0.402326,0.00005041186,0.0002676877,0.004810784,0.008504708,0.4211959],"study_design_scores_gemma":[0.001375863,0.0002384025,0.3705643,0.002258239,0.001312345,0.00004581131,0.3729311,0.0001162505,0.00203588,0.06733976,0.1805284,0.001253682],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6508259,0.003276726,0.0003353176,0.0005424684,0.0001897753,0.001309543,0.0001750595,0.00001519303,0.3433301],"genre_scores_gemma":[0.9386824,0.01470604,0.0140914,0.0002606768,0.0006842217,0.000444559,0.0003508517,0.0001444871,0.03063537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4199422,"threshold_uncertainty_score":0.9998541,"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."}}