{"id":"W4250087315","doi":"10.7326/l14-5007-2","title":"Metabolically Healthy Overweight and Obesity","year":2014,"lang":"en","type":"letter","venue":"Annals of Internal Medicine","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université du Québec à Montréal","funders":"","keywords":"Overweight; Medicine; Obesity; Demography; Gerontology; Family medicine; Internal medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001971502,0.0004554066,0.0008053899,0.001608604,0.0008487085,0.002645467,0.0005756409,0.00255886,0.08624927],"category_scores_gemma":[0.01658467,0.0003022406,0.0008305962,0.001737866,0.0004887115,0.001467155,0.001003626,0.003532969,0.01581837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301825,"about_ca_system_score_gemma":0.001984306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263825,"about_ca_topic_score_gemma":0.00586327,"domain_scores_codex":[0.998555,0.0004086236,0.0001807218,0.0001547026,0.0004852379,0.0002157755],"domain_scores_gemma":[0.9952769,0.001643574,0.0005443495,0.0002026206,0.001471971,0.0008605589],"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":[0.0004578313,0.00004738644,0.002670363,0.00103573,0.00009102948,0.0002506246,0.00008320935,0.00001801115,0.00008212418,0.001761175,0.8984988,0.0950037],"study_design_scores_gemma":[0.0003187317,0.0001819516,0.02162569,0.007528237,0.0002171189,0.001141929,0.0004784883,0.00005877816,0.0001660759,0.004279737,0.9639624,0.00004097187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006590209,0.2244526,0.0004239983,0.5124589,0.1503967,0.0001033641,0.005913504,0.0001411347,0.09951963],"genre_scores_gemma":[0.06978271,0.3525767,0.0009707709,0.2022874,0.2319385,0.0003469606,0.009648982,0.0002322532,0.1322157],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08624927,"threshold_uncertainty_score":0.2885326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664497639195821,"score_gpt":0.3489987749604544,"score_spread":0.3023537985684963,"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."}}