{"id":"W7073741170","doi":"","title":"Measuring Abdominal Circumference and Skeletal Muscle From a Single Cross-Sectional Computed Tomography Image: A Step-by-Step Guide for Clinicians Using National Institutes of Health ImageJ.","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Cleveland Clinic Foundation; National Institutes of Health; University of Alberta; Cleveland Clinic","keywords":"Supine position; Waist; Sarcopenia; Circumference; Abdominal computed tomography; Computed tomography; Abdomen; Tomography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002967347,0.00205225,0.001706233,0.006532729,0.0005314486,0.002214223,0.003118022,0.00189114,0.1152632],"category_scores_gemma":[0.01082413,0.002235708,0.001383989,0.002627461,0.0006481752,0.002270257,0.001567101,0.00324019,0.09550695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780459,"about_ca_system_score_gemma":0.001755508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002951329,"about_ca_topic_score_gemma":0.006222819,"domain_scores_codex":[0.998623,0.0002670537,0.0002150045,0.0001468265,0.0006819804,0.0000661075],"domain_scores_gemma":[0.9948605,0.002545403,0.0004523326,0.0003514816,0.001475027,0.0003152789],"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":[0.000105412,0.0001243995,0.00109231,0.001503586,0.00004721273,0.000433933,0.0001995953,0.0003096577,0.007624493,0.001398268,0.7003605,0.2868007],"study_design_scores_gemma":[0.00008139291,0.0001394147,0.00745366,0.00144819,0.00005891959,0.004201081,0.0002520763,0.002787081,0.004967451,0.004777146,0.973672,0.0001614228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0051586,0.03152362,0.577118,0.01230269,0.005991261,0.005098267,0.04786294,0.2276836,0.08726101],"genre_scores_gemma":[0.007599225,0.01982459,0.8644478,0.007055752,0.001236082,0.006712934,0.01769059,0.02606688,0.04936619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1152632,"threshold_uncertainty_score":0.385594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1783975058554389,"score_gpt":0.2944763591744251,"score_spread":0.1160788533189861,"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."}}