{"id":"W4220797849","doi":"10.1186/s12986-022-00660-w","title":"Long-term impact of the metabolic status on weight loss-induced health benefits","year":2022,"lang":"en","type":"article","venue":"Nutrition & Metabolism","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"Charité – Universitätsmedizin Berlin; Deutsche Diabetes Gesellschaft; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Deutsches Zentrum für Herz-Kreislaufforschung","keywords":"Weight loss; Medicine; Overweight; Obesity; Clinical nutrition; Internal medicine; Metabolic syndrome; Randomized controlled trial; Quality of life (healthcare); Endocrinology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005522171,0.0002463646,0.0008142064,0.0003309507,0.0003433787,0.00001315771,0.0001932617,0.00007358396,0.001123324],"category_scores_gemma":[0.00009997003,0.000167191,0.0007137538,0.0009989508,0.00004608735,0.00009713676,0.0001018785,0.0005412743,0.00001531835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652195,"about_ca_system_score_gemma":0.0004717988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002679068,"about_ca_topic_score_gemma":0.000006593777,"domain_scores_codex":[0.99742,0.0004081793,0.0005536786,0.0003269599,0.0007793959,0.0005117622],"domain_scores_gemma":[0.9984829,0.0001525408,0.0003578364,0.0006289204,0.0001181866,0.0002596405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003176511,0.007629822,0.8052233,0.0004776581,0.001369378,0.00007227373,0.001709544,0.0001280773,0.006959797,0.03161993,0.01586994,0.1257637],"study_design_scores_gemma":[0.00383644,0.0002293601,0.9730017,0.00005418046,0.0002037785,0.00008369265,0.0000348446,0.000005215912,0.003880257,0.0001979988,0.0183253,0.0001471939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740843,0.01931353,0.00000368142,0.003692485,0.001470308,0.0008201046,0.000316281,0.00006160833,0.0002376575],"genre_scores_gemma":[0.9937729,0.00329466,0.00005475235,0.001862915,0.0005754015,0.0001155622,0.0001051007,0.00003688308,0.0001817983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1677784,"threshold_uncertainty_score":0.9997898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022993215216677,"score_gpt":0.3118962380280791,"score_spread":0.2816663058759123,"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."}}