{"id":"W4281481810","doi":"10.1111/cob.12528","title":"General population normative scores for interpreting the <scp>BODY‐Q</scp>","year":2022,"lang":"en","type":"article","venue":"Clinical Obesity","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Odense Universitetshospital; Region Syddanmark","keywords":"Normative; Medicine; Body mass index; Population; Demography; Anthropometry; Body weight; Body contouring; Weight loss; Gerontology; Internal medicine; Obesity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002126553,0.00009351737,0.0003019225,0.00003298265,0.0004157813,0.00001849033,0.0001248379,0.00005880997,0.00003871917],"category_scores_gemma":[0.003368001,0.00006667596,0.0003037108,0.00009521477,0.00006856122,0.00004712967,0.0001623552,0.0004584016,0.0000117404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005944664,"about_ca_system_score_gemma":0.00005412886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008408918,"about_ca_topic_score_gemma":0.000008862088,"domain_scores_codex":[0.9985994,0.0002942567,0.000477629,0.0002184603,0.0002028366,0.0002074582],"domain_scores_gemma":[0.9966481,0.002760938,0.0001694146,0.0002588537,0.00007005175,0.00009265268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006397615,0.000217622,0.9627432,0.00002627842,0.00005429362,0.000008657436,0.0003226635,0.00003822203,0.00005228889,0.0006043264,0.03018618,0.005682309],"study_design_scores_gemma":[0.0008017732,0.0003470081,0.9560127,0.00004192719,0.00008875427,0.00001037046,0.0002357038,0.01197674,0.00007631261,0.0009855157,0.02937915,0.0000441044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956558,0.0001000041,0.0007154271,0.0008029162,0.0009490951,0.0003664642,0.00001760989,0.00007004179,0.001322632],"genre_scores_gemma":[0.994296,0.000008275752,0.0004259449,0.002144066,0.001048168,0.00005485764,0.00005964194,0.00001336226,0.001949732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01193852,"threshold_uncertainty_score":0.4032055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210150628515796,"score_gpt":0.3504752203616639,"score_spread":0.3083737140765059,"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."}}