{"id":"W4416425681","doi":"10.2196/76167","title":"Three Body-Worn Accelerometers in the French NutriNet-Santé Cohort: Feasibility and Acceptability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accelerometer; Data collection; Global Positioning System; Calibration; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.008812987,0.001011093,0.0006494828,0.001156851,0.0008142084,0.001486467,0.0008250456,0.001455456,0.001466911],"category_scores_gemma":[0.01047937,0.0004953541,0.001471664,0.0008699114,0.0005804877,0.0008092229,0.001221117,0.0006177215,0.000576559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628242,"about_ca_system_score_gemma":0.001348568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04107247,"about_ca_topic_score_gemma":0.03470021,"domain_scores_codex":[0.993885,0.003397886,0.0003377071,0.0007675973,0.001160369,0.0004514242],"domain_scores_gemma":[0.9956825,0.001079502,0.001107067,0.0005622422,0.001080236,0.0004885111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001481189,0.0004896502,0.9887944,0.00006425873,0.0002660236,0.0001382021,0.0009587941,0.00008511989,0.0005509195,0.00004858633,0.0007401468,0.006382723],"study_design_scores_gemma":[0.0001780563,0.0009323849,0.9970336,0.00001442674,0.00008117272,0.0001506729,0.0004279279,0.0002313561,0.00008281414,0.00001857052,0.0008313649,0.000017601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964556,0.000257536,0.0006458238,0.0001394068,0.00001503591,0.0003478732,0.001396836,0.00001504245,0.0007268255],"genre_scores_gemma":[0.9942704,0.0001946854,0.001446553,0.0002607318,0.00004079605,0.001051706,0.002022836,0.00001473932,0.0006975689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04107247,"threshold_uncertainty_score":0.08166683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336535310681194,"score_gpt":0.4989489091115381,"score_spread":0.3652953780434187,"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."}}