{"id":"W4389345921","doi":"10.1016/j.clnesp.2023.09.188","title":"Survey sarcopenia, no thanks! Let’s spread this campaign all around the world","year":2023,"lang":"en","type":"article","venue":"Clinical Nutrition ESPEN","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nutrasource","funders":"","keywords":"Sarcopenia; Medicine; Gerontology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006149057,0.0007625195,0.001100442,0.002116734,0.001114137,0.001630376,0.0006866147,0.002499903,0.0219432],"category_scores_gemma":[0.02191302,0.0003400811,0.0006716721,0.001287878,0.000491641,0.001887768,0.002142783,0.002726615,0.01469604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007334257,"about_ca_system_score_gemma":0.003249173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01355719,"about_ca_topic_score_gemma":0.01688157,"domain_scores_codex":[0.9976684,0.0008723533,0.00022557,0.000256604,0.0005969654,0.0003800439],"domain_scores_gemma":[0.9852169,0.001564482,0.0009415835,0.0006161652,0.006997221,0.004663655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000257399,0.0007079347,0.0975129,0.0005300032,0.0002081735,0.00006313081,0.0005362878,0.00006884476,0.0009785678,0.0003464257,0.7041356,0.1946547],"study_design_scores_gemma":[0.0005250574,0.002362899,0.4905847,0.005005125,0.0003703491,0.0004040498,0.005573632,0.0004138497,0.001033172,0.001700912,0.491852,0.0001741536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08939295,0.01446802,0.009322796,0.773599,0.0315342,0.002600364,0.0170793,0.00240661,0.05959667],"genre_scores_gemma":[0.2666319,0.02755568,0.02597227,0.5088197,0.01705276,0.008485273,0.02167705,0.000814095,0.1229912],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0219432,"threshold_uncertainty_score":0.07340735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2075643805844806,"score_gpt":0.4322686061951845,"score_spread":0.2247042256107039,"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."}}