{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006513258,0.0004279875,0.0003744719,0.002480804,0.0007634494,0.001059011,0.0007180072,0.0007667585,0.004318157],"category_scores_gemma":[0.0231869,0.0001888668,0.0004719145,0.001913318,0.0007031213,0.0006748295,0.0008386864,0.0006263765,0.001762046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005030746,"about_ca_system_score_gemma":0.0005274103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809986,"about_ca_topic_score_gemma":0.007969388,"domain_scores_codex":[0.9966403,0.001212216,0.000473233,0.00040045,0.001076508,0.0001972738],"domain_scores_gemma":[0.9910792,0.002474964,0.001921855,0.0008596404,0.003331602,0.0003327555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006076281,0.000331184,0.9244636,0.0002221906,0.0002343022,0.000241332,0.001661914,0.0006949046,0.001483704,0.00117567,0.02140885,0.04747472],"study_design_scores_gemma":[0.00004697689,0.0003519613,0.987093,0.0001197158,0.0000444055,0.000589997,0.001063782,0.0007454923,0.0004282685,0.0008147098,0.008672371,0.00002931975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419553,0.001221921,0.0104135,0.0005092671,0.0001837966,0.001207407,0.01279661,0.0002520678,0.03146015],"genre_scores_gemma":[0.9774829,0.0003262439,0.006570283,0.0003052215,0.00004107105,0.002007418,0.01105583,0.00007381255,0.002137167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006513258,"threshold_uncertainty_score":0.03444576,"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."}}