{"id":"W3157642462","doi":"10.1136/bmj.n1158","title":"Body mass index as socioeconomic indicator","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Socioeconomic status; Body mass index; Index (typography); Statistics; Environmental health; Geography; Environmental science; Medicine; Mathematics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007328235,0.0002709786,0.0003962056,0.002350269,0.000368055,0.000649754,0.0003625875,0.000411139,0.0122345],"category_scores_gemma":[0.006002515,0.0001141844,0.0005039176,0.003692185,0.0002631397,0.0004959513,0.0007891727,0.001320259,0.002459772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004491,"about_ca_system_score_gemma":0.0004392253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775013,"about_ca_topic_score_gemma":0.01661529,"domain_scores_codex":[0.9986423,0.0004307566,0.0001675259,0.0001095295,0.0005023847,0.0001476017],"domain_scores_gemma":[0.9978644,0.0004204095,0.0006914248,0.0001387968,0.0004850735,0.000399759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003334472,0.0001439715,0.8860003,0.0003302616,0.0002648824,0.0002600396,0.0005159368,0.0002966751,0.0002206591,0.005105668,0.07004836,0.03647982],"study_design_scores_gemma":[0.00001864439,0.0001878993,0.9575182,0.0002695805,0.00006364408,0.0003968488,0.0005760124,0.0006596913,0.00009350722,0.001240754,0.03894699,0.00002830118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6720986,0.01762397,0.004145752,0.02080259,0.003484434,0.0002948616,0.1087821,0.0002946359,0.172473],"genre_scores_gemma":[0.962062,0.003451161,0.00151818,0.001038224,0.0006401066,0.0001712643,0.01862121,0.00003204459,0.01246595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775013,"threshold_uncertainty_score":0.04092848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05778126887612363,"score_gpt":0.481832530171159,"score_spread":0.4240512612950354,"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."}}