{"id":"W4385664613","doi":"10.1038/s41366-023-01360-y","title":"Challenges of considering both extremities of the weight status spectrum to better understand obesity: insights from the NUTRILEAN project in constitutionally thin individuals","year":2023,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Rigour; Obesity; Underweight; Population; Grading (engineering); Medicine; Weight loss; Psychology; Overweight; Gerontology; Biology; Pathology; Environmental health","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":[0.01612815,0.0005492038,0.0008986849,0.001382755,0.002065801,0.005050563,0.001272979,0.001358235,0.001988051],"category_scores_gemma":[0.01729018,0.0003013662,0.0005561443,0.001215886,0.002831731,0.003761833,0.005770477,0.007052517,0.0003486914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648778,"about_ca_system_score_gemma":0.006864087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02491288,"about_ca_topic_score_gemma":0.08318802,"domain_scores_codex":[0.9958664,0.002669271,0.000188071,0.0003048685,0.0006301395,0.000341302],"domain_scores_gemma":[0.9911344,0.004028729,0.0009617059,0.000537714,0.001750945,0.001586421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004901601,0.0006202093,0.5071668,0.0007506752,0.000623349,0.000749298,0.03314743,0.001559535,0.001358431,0.02479618,0.02891612,0.3998218],"study_design_scores_gemma":[0.00007263853,0.0005052168,0.6440361,0.004614562,0.000456812,0.001547653,0.09477757,0.003501933,0.001013119,0.1365011,0.1127256,0.0002477786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5899325,0.03738738,0.01234919,0.3236291,0.002718944,0.000133534,0.001725115,0.00007553694,0.03204864],"genre_scores_gemma":[0.9136965,0.02286543,0.02724317,0.02996103,0.001705694,0.0003892317,0.0006925801,0.0001540937,0.003292199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02491288,"threshold_uncertainty_score":0.08529484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993350517062821,"score_gpt":0.2758588407546477,"score_spread":0.2359253355840195,"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."}}