{"id":"W4282838798","doi":"10.1093/cdn/nzac048.035","title":"Modelling the Potential Impact of Weight Gain During the COVID-19 Pandemic on the Future Burden of Cancer","year":2022,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary; BC Cancer Agency","funders":"","keywords":"Overweight; Underweight; Medicine; Body mass index; Demography; Cancer; Weight gain; Esophageal cancer; Population; Colorectal cancer; Pancreatic cancer; Years of potential life lost; Kidney cancer; Public health; Pandemic; Obesity; Environmental health; Coronavirus disease 2019 (COVID-19); Internal medicine; Body weight; Disease; Life expectancy; Pathology","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":[0.0007807903,0.000608193,0.0004505554,0.0005440519,0.0003507541,0.0009971552,0.0009921541,0.00132498,0.00440798],"category_scores_gemma":[0.002780277,0.0004465196,0.001185828,0.0007721272,0.0003745078,0.0006714477,0.0008489767,0.0009496368,0.0003702967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835182,"about_ca_system_score_gemma":0.002801232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2222319,"about_ca_topic_score_gemma":0.1380556,"domain_scores_codex":[0.999689,0.0001262128,0.00001251109,0.00004916098,0.0000267751,0.00009635695],"domain_scores_gemma":[0.9992726,0.0004033218,0.00008314447,0.0000247757,0.0001211618,0.000095019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004713041,0.00002068994,0.00739106,0.0000392937,0.00003558923,0.00007321298,0.00004353125,0.9878229,0.0001852115,0.002145354,0.0007683965,0.001427658],"study_design_scores_gemma":[0.00003944584,0.00006286972,0.005507586,0.00003880468,0.00004622466,0.00004072443,0.0001978494,0.9883717,0.0001236106,0.002997227,0.002549707,0.00002422949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053677,0.001092499,0.04034778,0.002904412,0.0002989188,0.0002723569,0.01426101,0.0003237163,0.03513145],"genre_scores_gemma":[0.9830717,0.0005140915,0.006331384,0.0002220636,0.00003227109,0.0001887198,0.002489751,0.00005012464,0.007099915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2222319,"threshold_uncertainty_score":0.4418766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08374598653981727,"score_gpt":0.4028655256636007,"score_spread":0.3191195391237834,"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."}}