{"id":"W4214709334","doi":"10.3389/fnut.2022.783660","title":"The Association Between Metabolic Status and Risk of Cancer Among Patients With Obesity: Metabolically Healthy Obesity vs. Metabolically Unhealthy Obesity","year":2022,"lang":"en","type":"review","venue":"Frontiers in Nutrition","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West China Hospital, Sichuan University; Sichuan University; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Medicine; Obesity; Body mass index; Odds ratio; Internal medicine; Population; Incidence (geometry); Prospective cohort study; Cancer; Cohort study; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001504256,0.0006370674,0.003989543,0.0005872905,0.0005065563,0.00006028433,0.0002823578,0.0005381464,0.00003464411],"category_scores_gemma":[0.0003309951,0.0004551184,0.0005113033,0.001375617,0.0002251635,0.0002003604,0.000152657,0.001771825,9.319087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683807,"about_ca_system_score_gemma":0.0009326299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009836077,"about_ca_topic_score_gemma":0.002341036,"domain_scores_codex":[0.9942665,0.001281525,0.001448937,0.0008368932,0.001281723,0.0008844329],"domain_scores_gemma":[0.9959682,0.0004732914,0.002196722,0.0006108269,0.0003079771,0.0004430354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003534319,0.0005623795,0.7292694,0.00631404,0.00115588,0.000001253671,0.00009992651,4.635929e-7,7.902157e-9,0.00002873405,0.001236769,0.2609777],"study_design_scores_gemma":[0.001848564,0.0002330452,0.4869572,0.00124798,0.004734081,3.068102e-7,0.00002500473,0.000002317967,4.080429e-7,0.00006070914,0.5046672,0.0002232042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1010242,0.89156,0.00007366516,0.00009197676,0.0008524836,0.003918466,0.002397546,0.00004802442,0.00003363787],"genre_scores_gemma":[0.00130079,0.9955158,0.0006710629,0.00009161182,0.0003639872,0.0008144631,0.001085165,0.00008960754,0.00006755721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5034304,"threshold_uncertainty_score":0.9997901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465126738990859,"score_gpt":0.2922542371785229,"score_spread":0.2776029697886144,"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."}}