{"id":"W6964883828","doi":"10.3389/fnut.2022.783660.s001","title":"Data_Sheet_1_The Association Between Metabolic Status and Risk of Cancer Among Patients With Obesity: Metabolically Healthy Obesity vs. Metabolically Unhealthy Obesity.docx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obesity; Cancer; Incidence (geometry); Body mass index; Prospective cohort study; Cohort study; Population; Cohort; Cancer incidence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007039423,0.001768566,0.003986043,0.009021346,0.001228239,0.003393218,0.003008047,0.002990901,0.6735845],"category_scores_gemma":[0.09021912,0.001720973,0.004472489,0.01241373,0.0009200887,0.003755128,0.002096874,0.002328748,0.05561108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002359477,"about_ca_system_score_gemma":0.006166218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008270123,"about_ca_topic_score_gemma":0.01279181,"domain_scores_codex":[0.993556,0.001289453,0.00253489,0.0008455435,0.001273621,0.0005005042],"domain_scores_gemma":[0.9200737,0.0512315,0.01229705,0.00411573,0.01070462,0.001577496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002037558,0.0001025658,0.004411268,0.1357022,0.0007942304,0.0001201825,0.0001853659,0.0005759224,0.0003765475,0.003048396,0.8355735,0.01707228],"study_design_scores_gemma":[0.02155318,0.0004619676,0.05491631,0.09147596,0.001592236,0.0007323693,0.0009230888,0.001574651,0.001101371,0.01594748,0.8092976,0.0004236931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000237602,0.0002119507,0.0002019364,0.0005800684,0.000136064,0.001359213,0.9954556,0.0001664236,0.001651084],"genre_scores_gemma":[0.01403203,0.002445878,0.01277796,0.009368548,0.0008252878,0.08902446,0.8423886,0.001141485,0.02799571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6735845,"threshold_uncertainty_score":0.4655921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585336535962721,"score_gpt":0.2371638998519935,"score_spread":0.2213105344923662,"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."}}