{"id":"W4411192327","doi":"10.3389/fpubh.2025.1596681","title":"Regional variations in Mediterranean diet adherence: a sociodemographic and lifestyle analysis across Mediterranean and non-Mediterranean regions within the MEDIET4ALL project","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Mediterranean diet; Mediterranean climate; Mediterranean Islands; Geography; Mediterranean area; Environmental health; Medicine; Demography; Gerontology; Sociology; Archaeology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002981853,0.0003297853,0.0009671499,0.001146116,0.0006486952,0.0001028829,0.0002507897,0.0002418996,0.00001045571],"category_scores_gemma":[0.0005217497,0.0002495517,0.0001678915,0.003594909,0.0008534808,0.0002264644,0.0001655743,0.000821433,5.367461e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653862,"about_ca_system_score_gemma":0.00087034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139444,"about_ca_topic_score_gemma":0.00624736,"domain_scores_codex":[0.99654,0.000368901,0.0009551465,0.0007198395,0.0006053909,0.0008107919],"domain_scores_gemma":[0.9983792,0.0003769734,0.0002777521,0.0004402387,0.0001613968,0.0003644648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005084837,0.0006879423,0.7198325,0.0006330701,0.001327755,0.00004573055,0.03503021,0.000005103956,0.000001830753,0.001973759,0.232388,0.00756563],"study_design_scores_gemma":[0.005317076,0.0007892469,0.92156,0.0005777092,0.0002541422,0.00003121108,0.02519592,0.0132129,2.520639e-7,0.005666215,0.02704237,0.0003529747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4099562,0.01361766,0.009704152,0.5568399,0.003159432,0.004546117,0.0003931844,0.0001887557,0.001594643],"genre_scores_gemma":[0.9815208,0.005811304,0.003465343,0.007759788,0.0003990089,0.0004267263,0.0003953743,0.00002388499,0.0001978281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5715646,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05301676743140515,"score_gpt":0.3455671067811112,"score_spread":0.2925503393497061,"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."}}