{"id":"W2007749809","doi":"10.1002/ajhb.20609","title":"Validation of hand‐held bioelectrical impedance analysis with magnetic resonance imaging for the assessment of body composition in overweight women","year":2007,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; McGill University","funders":"","keywords":"Bioelectrical impedance analysis; Overweight; Fat free mass; Magnetic resonance imaging; Fat mass; Body mass index; Medicine; Composition (language); Body fat percentage; Nuclear medicine; Internal medicine; Radiology","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":[0.003741886,0.0006175975,0.0004597654,0.0005275016,0.0002449207,0.0006593158,0.0006613627,0.0006326009,0.0006244872],"category_scores_gemma":[0.01279588,0.0003108575,0.0003515551,0.0003423692,0.0004135236,0.0002953764,0.0005547125,0.0003664033,0.0005163697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214973,"about_ca_system_score_gemma":0.0002986467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009162526,"about_ca_topic_score_gemma":0.001103818,"domain_scores_codex":[0.9968736,0.001592584,0.0002143218,0.0003629398,0.0008688871,0.00008756053],"domain_scores_gemma":[0.9956213,0.001896416,0.0009960803,0.0005666203,0.0007391046,0.0001806103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005706296,0.0008976522,0.7427148,0.0003602351,0.0005781777,0.0003763337,0.001318429,0.001368972,0.1287269,0.0001701542,0.0005343648,0.1172478],"study_design_scores_gemma":[0.0004458613,0.006466216,0.9575087,0.0001458498,0.0003138235,0.001992627,0.0004039366,0.007041629,0.02296449,0.0001355595,0.002539726,0.00004163341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873691,0.001094755,0.009768113,0.00007653327,0.00006887439,0.0001653584,0.0002512329,0.000064392,0.001141572],"genre_scores_gemma":[0.9882351,0.0003929141,0.01016748,0.0001273717,0.00005360748,0.0002205194,0.0002947363,0.00002017067,0.0004880791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003741886,"threshold_uncertainty_score":0.01978922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166892068395366,"score_gpt":0.3332571241865699,"score_spread":0.3215882035026162,"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."}}