{"id":"W4410589675","doi":"10.7759/cureus.84610","title":"Obesity-Associated Cancers: A United States Cancer Statistics (USCS) Database Analysis","year":2025,"lang":"en","type":"article","venue":"Cureus","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Medicine; Obesity; Cancer; Internal medicine","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":[0.0001166098,0.0001698467,0.00042922,0.0003427787,0.0001026057,0.00003170162,0.0001081544,0.00008047166,0.001161493],"category_scores_gemma":[0.0001427548,0.0001518418,0.0001038778,0.002179949,0.00006925777,0.00006061495,0.00005474809,0.0002066238,0.000008720339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009779411,"about_ca_system_score_gemma":0.000503537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.101202,"about_ca_topic_score_gemma":0.05890279,"domain_scores_codex":[0.9988786,0.0000391913,0.0002592578,0.0002947143,0.000229728,0.0002985197],"domain_scores_gemma":[0.9989833,0.0001040016,0.0001039358,0.0003905233,0.0002714797,0.0001467843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002304592,0.0003747049,0.8340383,0.0001654247,0.007355109,0.00009090723,0.0008568728,0.001446902,0.0002898117,0.0009891764,0.1505652,0.003597193],"study_design_scores_gemma":[0.004370913,0.0002515881,0.727856,0.0005980064,0.0157177,0.000001470707,0.001444999,0.04974218,0.000952062,0.0005588381,0.1978291,0.0006772156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640853,0.007861065,0.01317511,0.001356798,0.0007573167,0.0005461315,0.01058802,0.0002221974,0.001408085],"genre_scores_gemma":[0.9761782,0.007322794,0.0006172296,0.002673472,0.0001014167,0.00006655278,0.006872497,0.00002751704,0.006140275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1061823,"threshold_uncertainty_score":0.9997516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041820401531035,"score_gpt":0.344003280736516,"score_spread":0.3235850767212057,"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."}}