{"id":"W7023571442","doi":"","title":"Obesity and mortality rates","year":2014,"lang":"en","type":"other","venue":"Own your potential (DEAKIN)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mortality rate; Obesity; Scope (computer science); Developed country; Developing country; Population","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007014092,0.0002681037,0.0005008824,0.0001012853,0.000497129,0.0001883999,0.0003087391,0.0005447915,0.00695867],"category_scores_gemma":[0.000153041,0.0002457249,0.0001405589,0.000109832,0.0003536248,0.00007854049,0.0001055846,0.0002619308,0.0003394927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005575933,"about_ca_system_score_gemma":0.0002329992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1318407,"about_ca_topic_score_gemma":0.02717929,"domain_scores_codex":[0.9978314,0.0003116789,0.0002703255,0.0004287368,0.0004930179,0.0006648327],"domain_scores_gemma":[0.9989891,0.00004969633,0.00024076,0.000312746,0.00004374866,0.0003639467],"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":[0.00001008991,0.0000901864,0.08051364,0.000589988,0.0001421969,0.00004555704,0.0005825502,8.776474e-7,0.000002245062,0.07386236,0.840622,0.003538304],"study_design_scores_gemma":[0.0001857377,0.00001094554,0.08317644,0.0001074213,0.00006410339,0.00000113017,0.000169168,0.000007298837,0.000001248795,0.0006148344,0.9153697,0.0002919819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03283587,0.001247615,0.0003961683,0.003086228,0.004147965,0.0007497508,0.0001574722,0.0004450798,0.9569339],"genre_scores_gemma":[0.2620991,0.001074926,0.0002422352,0.002127258,0.004995206,0.00002022021,0.00005043971,0.0002430647,0.7291476],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2292632,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697773364290917,"score_gpt":0.3443463479210325,"score_spread":0.3173686142781233,"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."}}