{"id":"W4200067338","doi":"10.2196/33191","title":"The Disease and Economic Burdens of Esophageal Cancer in China from 2013 to 2030: Dynamic Cohort Modeling Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Medicine; Demography; China; Disease burden; Cohort; Years of potential life lost; Burden of disease; Population; Environmental health; Estimation; Geography; Life expectancy; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002800522,0.0007841087,0.0007749031,0.00109425,0.0005194388,0.0009060588,0.001515736,0.0007044553,0.002731069],"category_scores_gemma":[0.002909437,0.0005522213,0.002979802,0.001449219,0.0001953218,0.000576847,0.001141299,0.0009738829,0.0004063987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220655,"about_ca_system_score_gemma":0.004221309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150015,"about_ca_topic_score_gemma":0.09670231,"domain_scores_codex":[0.9994978,0.0001349159,0.00004088425,0.000135651,0.00006294392,0.0001278426],"domain_scores_gemma":[0.9990344,0.0002300777,0.0001723784,0.0001756788,0.0002281873,0.0001593641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005100105,0.0002242057,0.917929,0.0001145221,0.001660169,0.0005270817,0.0002906095,0.05894544,0.0002112341,0.002038085,0.006040066,0.01150956],"study_design_scores_gemma":[0.0003079036,0.0003598798,0.4190542,0.0002068817,0.002094153,0.000451171,0.0005200635,0.5674784,0.0002871851,0.002276112,0.006858206,0.0001057821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755362,0.0007675022,0.004979926,0.00108123,0.0000530667,0.0001387598,0.01616608,0.00006836146,0.001209017],"genre_scores_gemma":[0.9772826,0.0007121573,0.002769788,0.0001640647,0.00003111188,0.0003274431,0.01668286,0.00001850608,0.002011368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.150015,"threshold_uncertainty_score":0.2982838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084424113422865,"score_gpt":0.349914064468193,"score_spread":0.3290698233339643,"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."}}