{"id":"W1996821301","doi":"10.1016/j.amjmed.2014.10.043","title":"Should Patients with Chronic Disease Be Told to Gain Weight? The Obesity Paradox and Selection Bias","year":2014,"lang":"en","type":"review","venue":"The American Journal of Medicine","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Swiss Re; AstraZeneca","keywords":"Medicine; Selection bias; Weight gain; Selection (genetic algorithm); Obesity; Disease; Obesity paradox; Chronic disease; Intensive care medicine; Internal medicine; Body weight; Overweight; Pathology; Artificial intelligence","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":[0.03266378,0.0004243689,0.00287382,0.001820485,0.0006559998,0.001892912,0.001754727,0.003809791,0.005351041],"category_scores_gemma":[0.1176988,0.0004001319,0.001314931,0.003967258,0.00235398,0.002795842,0.001186338,0.002740328,0.0004445062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420387,"about_ca_system_score_gemma":0.004010787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004401937,"about_ca_topic_score_gemma":0.007916113,"domain_scores_codex":[0.977573,0.0148894,0.002241004,0.00119027,0.00371939,0.0003869408],"domain_scores_gemma":[0.8282679,0.1548892,0.01028759,0.002178027,0.003671503,0.0007057075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001134779,0.0001262244,0.03653339,0.0526241,0.006166111,0.0003106485,0.001454466,0.0002198469,0.00009923204,0.01959551,0.03551456,0.8462212],"study_design_scores_gemma":[0.003335707,0.000947231,0.107328,0.2165045,0.02213023,0.004801867,0.004836087,0.001065491,0.0005919663,0.1106789,0.5275349,0.0002452473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003151315,0.9652142,0.00043477,0.02824999,0.001192252,0.00002611687,0.0001381506,0.000003083084,0.001590188],"genre_scores_gemma":[0.06940526,0.8829765,0.001076246,0.03839081,0.00716479,0.0001243661,0.0001824021,0.00001163029,0.0006679054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03266378,"threshold_uncertainty_score":0.1727446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296174704661868,"score_gpt":0.477051683065791,"score_spread":0.3474342125996043,"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."}}